Triple
T34446488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Youth Day |
E884240
|
entity |
| Predicate | estimatedAttendanceRecord |
P86916
|
FINISHED |
| Object | over 4 million people in Manila 1995 |
—
|
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 4 million people in Manila 1995 | Statement: [World Youth Day, estimatedAttendanceRecord, over 4 million people in Manila 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedAttendanceRecord Context triple: [World Youth Day, estimatedAttendanceRecord, over 4 million people in Manila 1995]
-
A.
estimatedCumulativeAttendance
chosen
Indicates the total number of attendees expected to have been present over a period of time, aggregated up to a given point.
-
B.
fanAttendance
Indicates the number or presence of fans attending an event, such as a game, show, or performance.
-
C.
hasTypicalAttendance
Indicates the usual or characteristic number of attendees associated with an event, venue, or activity.
-
D.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
-
E.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 2 a.m.