Triple
T11151298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Bell Classic |
E263790
|
entity |
| Predicate | attendanceApprox |
P2636
|
FINISHED |
| Object | tens of thousands of spectators |
—
|
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: tens of thousands of spectators | Statement: [Liberty Bell Classic, attendanceApprox, tens of thousands of spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceApprox Context triple: [Liberty Bell Classic, attendanceApprox, tens of thousands of spectators]
-
A.
attendance
chosen
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.
attendanceInfluence
Indicates how one entity’s presence or participation affects the attendance level or likelihood of attendance of another entity or group.
-
E.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.