Triple
T4164622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cork South-Central |
E84415
|
entity |
| Predicate | previousNumberOfSeats |
P54210
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Cork South-Central, previousNumberOfSeats, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousNumberOfSeats Context triple: [Cork South-Central, previousNumberOfSeats, 5]
-
A.
seatingCapacity
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
-
B.
laterSeat
Indicates that one entity is seated in a position that comes after another entity in a specified ordering or sequence of seats.
-
C.
numberOfSeats2006
Indicates the number of seats an entity held or provided in the year 2006.
-
D.
transferredSeatsTo
Indicates that one entity moved or reassigned seats it controlled or possessed to another entity.
-
E.
numberOfSittings
Indicates the total count of distinct sittings or sessions associated with an entity or event.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0320775c8190b90d80f512060f1c |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.