Triple
T10350216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halimah Yacob |
E243860
|
entity |
| Predicate | officeEndPosition |
P2941
|
FINISHED |
| Object | President of Singapore |
—
|
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: President of Singapore | Statement: [Halimah Yacob, officeEndPosition, President of Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndPosition Context triple: [Halimah Yacob, officeEndPosition, President of Singapore]
-
A.
officeEndApproximate
Indicates that an office or term ended around an approximate date rather than on a precisely known day.
-
B.
officeEnded
chosen
Indicates that a person’s term in an office or position has concluded at a specified time or under certain conditions.
-
C.
officeDeskLocation
Indicates the specific desk or workstation location assigned to or used by an entity within an office space.
-
D.
officeEndTime (RNC Chair)
Indicates the time at which the RNC Chair’s term in office concludes.
-
E.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e94796d881909e0b908de63a1aa3 |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:57 a.m.