Triple
T4034105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin Park |
E83785
|
entity |
| Predicate | recordAttendanceContext |
P14459
|
FINISHED |
| Object | FA Cup match vs Leicester City in 1949 |
—
|
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: FA Cup match vs Leicester City in 1949 | Statement: [Griffin Park, recordAttendanceContext, FA Cup match vs Leicester City in 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordAttendanceContext Context triple: [Griffin Park, recordAttendanceContext, FA Cup match vs Leicester City in 1949]
-
A.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
-
B.
recordAttendanceCompetition
chosen
Indicates that an entity records or logs attendance information for a competition or competitive event.
-
C.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
D.
recordSettingVenueFor
Indicates the venue or location where a particular record (such as a performance, achievement, or measurement) was set.
-
E.
recordHeld
Indicates that one entity possesses or maintains a particular record associated with another entity or context.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.