Triple
T503981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Road |
E10460
|
entity |
| Predicate | recordAttendanceDate |
P1160
|
FINISHED |
| Object | 1934-03-03 |
—
|
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: 1934-03-03 | Statement: [Maine Road, recordAttendanceDate, 1934-03-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordAttendanceDate Context triple: [Maine Road, recordAttendanceDate, 1934-03-03]
-
A.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
dateObserved
chosen
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
C.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
D.
lastSessionDate
Indicates the date on which the most recent session involving the entity took place.
-
E.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.