Triple
T36691668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirimia |
E905971
|
entity |
| Predicate | officePrecursor |
P193111
|
FINISHED |
| Object | Colonial Secretary of New Zealand |
—
|
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: Colonial Secretary of New Zealand | Statement: [Pirimia, officePrecursor, Colonial Secretary of New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officePrecursor Context triple: [Pirimia, officePrecursor, Colonial Secretary of New Zealand]
-
A.
officeBefore
chosen
Indicates that one office, position, or term is held or occurs earlier in time than another office, position, or term.
-
B.
officeIncludes
Indicates that an office contains, encompasses, or has within its scope a specified subordinate space, role, or resource.
-
C.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
D.
officeTransformedInto
Indicates that one office has been converted or changed into another office or a different type of space.
-
E.
defaultOfficeSuite
Indicates that a particular office software suite is set as the primary or standard choice to be used by default.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00315632a8819092290f455babd7ee |
completed | May 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_6a002f54a0dc81909b0e54c5e110e67c |
completed | May 10, 2026, 7:10 a.m. |
Created at: May 3, 2026, 4:12 p.m.