Triple
T31661225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand rugby season |
E808005
|
entity |
| Predicate | keyStadium |
P172608
|
FINISHED |
| Object | Eden Park |
—
|
NE NERFINISHED |
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: Eden Park | Statement: [New Zealand rugby season, keyStadium, Eden Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyStadium Context triple: [New Zealand rugby season, keyStadium, Eden Park]
-
A.
homeStadiumOf
Indicates that a particular stadium serves as the primary home venue for a specific sports team or organization.
-
B.
stadiumFor
Indicates that a particular stadium serves as the designated home or primary venue for a specific team, event, or organization.
-
C.
homeStadium
Indicates that a particular stadium serves as the primary venue where a sports team plays its home games.
-
D.
stadiumOfficialName
Indicates the formal, legally recognized name assigned to a stadium.
-
E.
mainStadium
Indicates that a particular stadium serves as the primary or home stadium associated with an entity (such as a team, club, or organization).
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:57 p.m.