Triple
T11815653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Western Sydney Giants |
E280992
|
entity |
| Predicate | homeStateTeamStatus |
P101447
|
FINISHED |
| Object | second AFL club in New South Wales |
—
|
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: second AFL club in New South Wales | Statement: [Greater Western Sydney Giants, homeStateTeamStatus, second AFL club in New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeStateTeamStatus Context triple: [Greater Western Sydney Giants, homeStateTeamStatus, second AFL club in New South Wales]
-
A.
homeStateTeam
Indicates that a sports team is based in, or represents, the home state of a given person or entity.
-
B.
homeStateTeamOf
Indicates that one team is the designated home-state team associated with a particular person, organization, or region.
-
C.
hasTeamInState
Indicates that an organization or entity has at least one team located or operating within a specified state.
-
D.
ownedTeamHomeState
Indicates that the owning entity’s home or primary location is in the same state as the team’s home state.
-
E.
nflTeamState
Indicates the U.S. state in which an NFL team is based or associated.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.