Triple
T7443669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 75 (New Zealand) Squadron RAF |
E171815
|
entity |
| Predicate | primaryPersonnelNationality |
P14610
|
FINISHED |
| Object | New Zealander |
—
|
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: New Zealander | Statement: [No. 75 (New Zealand) Squadron RAF, primaryPersonnelNationality, New Zealander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPersonnelNationality Context triple: [No. 75 (New Zealand) Squadron RAF, primaryPersonnelNationality, New Zealander]
-
A.
nationalityOfPersonnel
chosen
Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
-
B.
bearerNationality
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
C.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
D.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
E.
originalNationality
Indicates the country or nationality an entity initially belonged to or originated from, before any later changes in citizenship or affiliation.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36e9a588190b54b8bae181fc971 |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.