Triple
T1244533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomeranian Voivodeship |
E26733
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Człuchów
Człuchów is a historic town in northern Poland known for its medieval Teutonic castle ruins and surrounding lakes.
|
E234299
|
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: Człuchów | Statement: [Pomeranian Voivodeship, containsCity, Człuchów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Człuchów Context triple: [Pomeranian Voivodeship, containsCity, Człuchów]
-
A.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Starachowice
Starachowice is an industrial town in south-central Poland known for its automotive and metalworking industries and its location near the Świętokrzyskie (Holy Cross) Mountains.
-
D.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
E.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
- 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: Człuchów Triple: [Pomeranian Voivodeship, containsCity, Człuchów]
Generated description
Człuchów is a historic town in northern Poland known for its medieval Teutonic castle ruins and surrounding lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Człuchów Target entity description: Człuchów is a historic town in northern Poland known for its medieval Teutonic castle ruins and surrounding lakes.
-
A.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Starachowice
Starachowice is an industrial town in south-central Poland known for its automotive and metalworking industries and its location near the Świętokrzyskie (Holy Cross) Mountains.
-
D.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
E.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6498948190b30b09d845d67ac4 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3037944c8190b2ced5f5ca539260 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae3149922c819085fb2af51d53304c |
completed | March 9, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31a67eb08190a3ef64e83301fabc |
completed | March 9, 2026, 2:34 a.m. |
Created at: March 1, 2026, 7:47 p.m.