Triple
T33838798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filipino New Zealanders |
E867304
|
entity |
| Predicate | hasYouthSubgroup |
P87236
|
FINISHED |
| Object | second-generation Filipino New Zealanders |
—
|
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-generation Filipino New Zealanders | Statement: [Filipino New Zealanders, hasYouthSubgroup, second-generation Filipino New Zealanders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYouthSubgroup Context triple: [Filipino New Zealanders, hasYouthSubgroup, second-generation Filipino New Zealanders]
-
A.
hasYouthBase
Indicates that an entity has an associated youth-level base, such as a junior or developmental organization, facility, or team structure.
-
B.
hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
-
C.
hasYouthWingOrAuxiliary
chosen
Indicates that an organization has a formally associated youth wing or auxiliary group linked to it.
-
D.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
E.
hasYouthBrand
Indicates that an entity is associated with or owns a brand specifically targeted at young people.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7004d97408190a3b09fa2bda3d42e |
completed | May 3, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.