Triple
T224604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treblinka |
E4287
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Malkinia Górna
Małkinia Górna is a village in northeastern Poland that served as a key railway junction near the Treblinka extermination camp during World War II.
|
E28608
|
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: Malkinia Górna | Statement: [Treblinka, locatedNear, Malkinia Górna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malkinia Górna Context triple: [Treblinka, locatedNear, Malkinia Górna]
-
A.
Sucha Beskidzka
Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Beskid Sądecki
Beskid Sądecki is a mountain range in southern Poland that forms part of the Western Beskids, known for its forested peaks, spa towns, and hiking trails.
-
D.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
E.
Wieliczka
Wieliczka is a historic town in southern Poland best known for its UNESCO-listed medieval salt mine, one of the country’s major tourist attractions.
- 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: Malkinia Górna Triple: [Treblinka, locatedNear, Malkinia Górna]
Generated description
Małkinia Górna is a village in northeastern Poland that served as a key railway junction near the Treblinka extermination camp during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malkinia Górna Target entity description: Małkinia Górna is a village in northeastern Poland that served as a key railway junction near the Treblinka extermination camp during World War II.
-
A.
Sucha Beskidzka
Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Beskid Sądecki
Beskid Sądecki is a mountain range in southern Poland that forms part of the Western Beskids, known for its forested peaks, spa towns, and hiking trails.
-
D.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
E.
Wieliczka
Wieliczka is a historic town in southern Poland best known for its UNESCO-listed medieval salt mine, one of the country’s major tourist attractions.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c8c0b8881908016161568c0cbfb |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35277532c8190ab2815c63a564e33 |
completed | Feb. 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69a3547eeef88190923f3d7b46e11d7e |
completed | Feb. 28, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a354f267ac8190ace99e80f7c24d45 |
completed | Feb. 28, 2026, 8:49 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.