Triple
T114062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesser Poland Voivodeship |
E2305
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
|
E24617
|
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: Chrzanów | Statement: [Lesser Poland Voivodeship, containsTown, Chrzanów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chrzanów Context triple: [Lesser Poland Voivodeship, containsTown, Chrzanów]
-
A.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
B.
Nowy Sącz
Nowy Sącz is a historic city in southern Poland known for its well-preserved Old Town, cultural heritage, and role as a local economic and administrative center.
-
C.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
D.
Tarnów
Tarnów is a historic city in southern Poland known for its well-preserved Old Town, Renaissance architecture, and cultural heritage.
-
E.
Wrocław
Wrocław is a major historic city in southwestern Poland, known for its picturesque Old Town, numerous bridges over the Oder River, and role as a cultural and academic center.
- 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: Chrzanów Triple: [Lesser Poland Voivodeship, containsTown, Chrzanów]
Generated description
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chrzanów Target entity description: Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
A.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
B.
Nowy Sącz
Nowy Sącz is a historic city in southern Poland known for its well-preserved Old Town, cultural heritage, and role as a local economic and administrative center.
-
C.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
D.
Tarnów
Tarnów is a historic city in southern Poland known for its well-preserved Old Town, Renaissance architecture, and cultural heritage.
-
E.
Wrocław
Wrocław is a major historic city in southwestern Poland, known for its picturesque Old Town, numerous bridges over the Oder River, and role as a cultural and academic center.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25b800d08819099a44429d5c82c68 |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a311574d248190b4769473012a3106 |
completed | Feb. 28, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69a311e8cd04819097b25a1f70ee1786 |
completed | Feb. 28, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3127429ac8190aba44dc87716bc6e |
completed | Feb. 28, 2026, 4:06 p.m. |
Created at: Feb. 28, 2026, 2:20 a.m.