Triple
T37612761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice President of Palau |
E935831
|
entity |
| Predicate | officeHoldersTermLimit |
P201427
|
FINISHED |
| Object | two consecutive terms |
—
|
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: two consecutive terms | Statement: [Vice President of Palau, officeHoldersTermLimit, two consecutive terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHoldersTermLimit Context triple: [Vice President of Palau, officeHoldersTermLimit, two consecutive terms]
-
A.
officeHoldersTermLength
Indicates the length of time an office holder is authorized to serve in a particular position or role.
-
B.
officeHolderLimit
chosen
Indicates a restriction on how many terms, positions, or roles a given office holder may occupy or for how long they may serve.
-
C.
termLimitDefinedBy
Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
-
D.
officeHoldersNumberLimit
Indicates a constraint specifying the maximum number of individuals who may simultaneously hold a particular office or position.
-
E.
incumbentTermLimited
Indicates that the current officeholder is restricted by term limits from serving another consecutive term in that office.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
Created at: May 3, 2026, 4:18 p.m.