Triple
T3279172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Lockyer |
E68831
|
entity |
| Predicate | stateOfOriginAppearances |
P47669
|
FINISHED |
| Object | 36 for Queensland |
—
|
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: 36 for Queensland | Statement: [Darren Lockyer, stateOfOriginAppearances, 36 for Queensland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfOriginAppearances Context triple: [Darren Lockyer, stateOfOriginAppearances, 36 for Queensland]
-
A.
majorStatesInNigeria
Indicates that the subject is one of the principal or most significant states within the country of Nigeria.
-
B.
teamProvinceOrState
Indicates that a team is located in, or associated with, a particular province or state.
-
C.
isProvinceOf
Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
-
D.
belongsToNationState
Indicates that an entity is a member, part, or constituent of a specific nation-state, reflecting a formal or recognized association with that country.
-
E.
participantsRegion
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0155430819097c806ee407dc1e4 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.