Triple
T1764346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lichtenberg |
E38727
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wartenberg locality
Wartenberg locality is a residential district in the northeastern part of Berlin, Germany, known for its mix of housing estates and green spaces.
|
E196877
|
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: Wartenberg locality | Statement: [Lichtenberg, contains, Wartenberg locality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wartenberg locality Context triple: [Lichtenberg, contains, Wartenberg locality]
-
A.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
-
C.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
D.
Wünsdorf
Wünsdorf is a town in Brandenburg, Germany, historically notable as a major military garrison and command center, including serving as the site of the German Wehrmacht’s high command during World War II.
-
E.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
- 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: Wartenberg locality Triple: [Lichtenberg, contains, Wartenberg locality]
Generated description
Wartenberg locality is a residential district in the northeastern part of Berlin, Germany, known for its mix of housing estates and green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wartenberg locality Target entity description: Wartenberg locality is a residential district in the northeastern part of Berlin, Germany, known for its mix of housing estates and green spaces.
-
A.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
-
C.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
D.
Wünsdorf
Wünsdorf is a town in Brandenburg, Germany, historically notable as a major military garrison and command center, including serving as the site of the German Wehrmacht’s high command during World War II.
-
E.
Hubersdorf
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646665088190afa31bdf48f14316 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0f12fd8819099759ebcdfc19494 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1e424f88190b070f28789121458 |
completed | March 8, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada298cc1081909faef3bdecbcbfd0 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.