Triple
T13381966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education City Stadium |
E319338
|
entity |
| Predicate | seatsDonationPurpose |
P109703
|
FINISHED |
| Object | stadiums in developing countries |
—
|
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: stadiums in developing countries | Statement: [Education City Stadium, seatsDonationPurpose, stadiums in developing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsDonationPurpose Context triple: [Education City Stadium, seatsDonationPurpose, stadiums in developing countries]
-
A.
VoxSeats
Indicates a relationship where specific seats are associated with or designated for vocal performers or voice-related roles within a venue or arrangement.
-
B.
seatOrDomain
Indicates a relationship where something serves as, or is associated with, the primary location, base, or jurisdictional area (seat or domain) of an entity.
-
C.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
D.
otherSeat
Indicates that one entity is the alternative or different seat relative to another seat in a given context.
-
E.
individualSeats
Indicates that an entity provides or consists of separate, single-person seating positions rather than shared or bench-style seating.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:33 p.m.