Triple
T31263586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Cup 1969–70 |
E797187
|
entity |
| Predicate | finalAttendanceApprox |
P74651
|
FINISHED |
| Object | 53000 |
—
|
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: 53000 | Statement: [European Cup 1969–70, finalAttendanceApprox, 53000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalAttendanceApprox Context triple: [European Cup 1969–70, finalAttendanceApprox, 53000]
-
A.
estimatedCumulativeAttendance
Indicates the total number of attendees expected to have been present over a period of time, aggregated up to a given point.
-
B.
attendanceCategory
Indicates the classification or type assigned to an entity’s attendance status within a given context or event.
-
C.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
D.
grandFinalAttendance
chosen
Indicates the number of people who attended the grand final event.
-
E.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 29, 2026, 9:12 p.m.