Triple
T19828508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Łódź Voivodeship (1975–1998) |
E476392
|
entity |
| Predicate | containedCity |
P8465
|
FINISHED |
| Object |
Bełchatów
Bełchatów is a town in central Poland best known for its massive lignite-fired power plant, one of the largest coal power stations in Europe.
|
E1397206
|
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: Bełchatów | Statement: [former Łódź Voivodeship (1975–1998), containedCity, Bełchatów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bełchatów Context triple: [former Łódź Voivodeship (1975–1998), containedCity, Bełchatów]
-
A.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
B.
Mysłowice
Mysłowice is a city in southern Poland known as part of the industrial and urban region of Upper Silesia.
-
C.
Stalowa Wola
Stalowa Wola is an industrial city in southeastern Poland, historically known as a major center of heavy industry and steel production.
-
D.
Chorzów
Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
-
E.
Bochorna
Bochorna is a remote highland village in the Tusheti region of northeastern Georgia, known as one of the highest permanently inhabited settlements 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: Bełchatów Triple: [former Łódź Voivodeship (1975–1998), containedCity, Bełchatów]
Generated description
Bełchatów is a town in central Poland best known for its massive lignite-fired power plant, one of the largest coal power stations in Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bełchatów Target entity description: Bełchatów is a town in central Poland best known for its massive lignite-fired power plant, one of the largest coal power stations in Europe.
-
A.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
B.
Mysłowice
Mysłowice is a city in southern Poland known as part of the industrial and urban region of Upper Silesia.
-
C.
Stalowa Wola
Stalowa Wola is an industrial city in southeastern Poland, historically known as a major center of heavy industry and steel production.
-
D.
Chorzów
Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
-
E.
Bochorna
Bochorna is a remote highland village in the Tusheti region of northeastern Georgia, known as one of the highest permanently inhabited settlements 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cc0f2c81908137caa4c2087027 |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd5e2e08190a4a416ce2a3e7a36 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07d01d78c481908faff4cb29e1494e |
completed | May 16, 2026, 2:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d0d94c3881909ca241d22938637a |
completed | May 16, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:50 p.m.