Triple
T25325516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chęciny County |
E635000
|
entity |
| Predicate | partOfHistoricalUnit |
P5057
|
FINISHED |
| Object | Sandomierz Land |
—
|
NE NERFINISHED |
How this triple was built (2 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: Sandomierz Land | Statement: [Chęciny County, partOfHistoricalUnit, Sandomierz Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfHistoricalUnit Context triple: [Chęciny County, partOfHistoricalUnit, Sandomierz Land]
-
A.
partOfHistoricalArea
Indicates that one entity is located within or belongs to a designated historical area or heritage zone.
-
B.
historicallyPartOf
chosen
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
C.
partOfHistoricalPeople
Indicates that one entity is a subset, member, or component of a larger group or collection of historical people.
-
D.
historicalEntityWithin
Indicates that one historical entity is geographically, administratively, or contextually contained within another historical entity.
-
E.
historicalEntityAssociated
Indicates that one entity has a documented historical connection, relevance, or involvement with another entity.
- F. None of above.
Provenance (3 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 21, 2026, 1:30 p.m.