Triple
T9218251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Graham Crusades |
E221294
|
entity |
| Predicate | estimatedCumulativeAttendance |
P86916
|
FINISHED |
| Object | over 200 million people |
—
|
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: over 200 million people | Statement: [Billy Graham Crusades, estimatedCumulativeAttendance, over 200 million people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedCumulativeAttendance Context triple: [Billy Graham Crusades, estimatedCumulativeAttendance, over 200 million people]
-
A.
fanAttendance
Indicates the number or presence of fans attending an event, such as a game, show, or performance.
-
B.
grandFinalAttendance
Indicates the number of people who attended the grand final event.
-
C.
ticketedAudience
Indicates that the audience for an event or activity is required to obtain tickets (i.e., attendance is controlled or limited via ticketing).
-
D.
averageAttendanceCategory
Indicates the attendance range or classification into which an entity’s typical or mean attendance level falls.
-
E.
estimatedMemberCount
Indicates the approximate or predicted number of members associated with an entity.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc687067fc81909da2d78fda0cdcfb |
completed | April 1, 2026, 12:36 a.m. |
Created at: March 30, 2026, 7:27 p.m.