Triple
T7500605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emanuel Lasker |
E177249
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Berlinchen
Berlinchen is a small town in what is now Poland (formerly part of Germany) known historically as the birthplace of world chess champion Emanuel Lasker.
|
E668621
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Berlinchen | Statement: [Emanuel Lasker, placeOfBirth, Berlinchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlinchen Context triple: [Emanuel Lasker, placeOfBirth, Berlinchen]
-
A.
Berliner
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
B.
Berlin B
Berlin B is one of the public transport fare zones in Berlin, covering the outer areas of the city beyond the central A zone.
-
C.
Berlin Ost
Berlin Ost was the former name of Berlin Ostbahnhof, a major railway station in the eastern part of Berlin, Germany.
-
D.
Berlin Gesundbrunnen
Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
-
E.
Berlin
Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berlinchen Triple: [Emanuel Lasker, placeOfBirth, Berlinchen]
Generated description
Berlinchen is a small town in what is now Poland (formerly part of Germany) known historically as the birthplace of world chess champion Emanuel Lasker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berlinchen Target entity description: Berlinchen is a small town in what is now Poland (formerly part of Germany) known historically as the birthplace of world chess champion Emanuel Lasker.
-
A.
Berliner
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
B.
Berlin B
Berlin B is one of the public transport fare zones in Berlin, covering the outer areas of the city beyond the central A zone.
-
C.
Berlin Ost
Berlin Ost was the former name of Berlin Ostbahnhof, a major railway station in the eastern part of Berlin, Germany.
-
D.
Berlin Gesundbrunnen
Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
-
E.
Berlin
Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59aabb8819085bdbe9c793d5b8b |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9490fc81908d35c0537b45aa13 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e17c25c8190a7a329f0a6169fac |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:44 p.m.