Triple
T9559280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Representative in the Cook Islands |
E230625
|
entity |
| Predicate | fourthOfficeHolderStartDate |
P89786
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [King's Representative in the Cook Islands, fourthOfficeHolderStartDate, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthOfficeHolderStartDate Context triple: [King's Representative in the Cook Islands, fourthOfficeHolderStartDate, 2013]
-
A.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
B.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
currentRepresentativeSince
Indicates the date or time from which an entity has been serving as the current representative of another entity.
-
D.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
E.
firstOfficeHolderStart
Indicates the date or time when the first person to hold a particular office or position began their term.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994a7e9c8190b68883c2ea45aa1a |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:03 p.m.