Triple
T28061930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris La Défense Arena |
E709133
|
entity |
| Predicate | capacityForRugby |
P163659
|
FINISHED |
| Object | approximately 30000 spectators |
—
|
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: approximately 30000 spectators | Statement: [Paris La Défense Arena, capacityForRugby, approximately 30000 spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capacityForRugby Context triple: [Paris La Défense Arena, capacityForRugby, approximately 30000 spectators]
-
A.
capacityRugby
chosen
Indicates that an entity has a specified seating or attendance capacity for hosting rugby events or matches.
-
B.
capacityForWorldCup
Indicates the maximum number of spectators a venue can accommodate specifically for World Cup events.
-
C.
playerCapacity
Indicates the maximum number of players that can simultaneously participate in or be accommodated by something (such as a game, session, or venue).
-
D.
codeOfRugby
Indicates that one entity is the specific code or variant of rugby (e.g., rugby union, rugby league) under which the other entity is played, governed, or classified.
-
E.
hasRugbyGround
Indicates that an entity possesses, contains, or is associated with a rugby ground as a facility or location.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f640174f388190b2c018b39d8aeeac |
completed | May 2, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 8:40 p.m.