Triple
T26566263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware County Fairgrounds |
E666392
|
entity |
| Predicate | attendanceFeature |
P160647
|
FINISHED |
| Object | attracts large crowds for Little Brown Jug day |
—
|
LITERAL FINISHED |
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: attracts large crowds for Little Brown Jug day | Statement: [Delaware County Fairgrounds, attendanceFeature, attracts large crowds for Little Brown Jug day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceFeature Context triple: [Delaware County Fairgrounds, attendanceFeature, attracts large crowds for Little Brown Jug day]
-
A.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
attendancePromotion
Indicates a relationship where one entity promotes, encourages, or incentivizes attendance at an event, activity, or location for another entity.
-
C.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
-
D.
attendanceRecordMatch
Indicates that two attendance records correspond to the same underlying event, person, or time entry according to defined matching criteria.
-
E.
attendanceUnit
Indicates a unit or measure used to quantify or record attendance in a given context.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6149f29c88190b4899c61a28828c1 |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 1:55 a.m.