Triple
T1910303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bór |
E38092
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
|
E368390
|
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: Chorobrów | Statement: [Bór, placeOfBirth, Chorobrów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chorobrów Context triple: [Bór, placeOfBirth, Chorobrów]
-
A.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
B.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
C.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
-
D.
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.
-
E.
Opatów
Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
- 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: Chorobrów Triple: [Bór, placeOfBirth, Chorobrów]
Generated description
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chorobrów Target entity description: Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
A.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
B.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
C.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
-
D.
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.
-
E.
Opatów
Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b7095c8190ad7e472aada30d3d |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38b9e52688190bd9dc7fb17e892f8 |
completed | March 13, 2026, 3:59 a.m. |
| NEDg | Description generation | batch_69b3b30fa650819088654b109d6e9fb9 |
completed | March 13, 2026, 6:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3b36664fc81908a084ed2f75af44a |
completed | March 13, 2026, 6:49 a.m. |
Created at: March 4, 2026, 7:35 p.m.