Triple
T34797845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fighters Guild |
E1003136
|
entity |
| Predicate | hasChapterHallIn |
P197752
|
FINISHED |
| Object | Chorrol |
—
|
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: Chorrol | Statement: [The Fighters Guild, hasChapterHallIn, Chorrol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChapterHallIn Context triple: [The Fighters Guild, hasChapterHallIn, Chorrol]
-
A.
hasStationHall
Indicates that one entity (typically a station) includes or is associated with a station hall area as part of its structure or facilities.
-
B.
hasSingleHall
Indicates that an entity possesses exactly one hall within its structure or domain.
-
C.
hasSecondaryHall
Indicates that an entity is associated with or contains an additional, subordinate hall beyond its primary hall.
-
D.
hasLectureHall
Indicates that an entity possesses, includes, or is associated with a lecture hall as part of its facilities or structure.
-
E.
hasHallFunction
Indicates that an entity serves as or includes a hall used for gatherings, events, or similar functions.
- F. None of above. chosen
Provenance (4 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69fea5e75a5481908a04d91ee7255ebb |
completed | May 9, 2026, 3:11 a.m. |
Created at: May 3, 2026, 3:59 p.m.