Triple
T22460128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Farquhar |
E555206
|
entity |
| Predicate | officeEndForRole:ResidentOfSingapore |
P148280
|
FINISHED |
| Object | 1823 |
—
|
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: 1823 | Statement: [William Farquhar, officeEndForRole:ResidentOfSingapore, 1823]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForRole:ResidentOfSingapore Context triple: [William Farquhar, officeEndForRole:ResidentOfSingapore, 1823]
-
A.
officeEndTime (Governor-General of Tuvalu)
Indicates the time at which the Governor-General of Tuvalu’s term in office concludes.
-
B.
officeEndTime (Administrator of UNDP)
Indicates the time at which the Administrator of UNDP’s term in office concludes.
-
C.
endDateOfResidence
Indicates the date on which a particular period of residence at a location comes to an end.
-
D.
officeEndTime (Governor of Madras)
Indicates the time at which the Governor of Madras’s term in office concludes.
-
E.
usedForResidentsOf
Indicates that something is intended to be used by, or serves the needs of, people who reside in a particular place or region.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7eb5688190bd5e41d4d8189668 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.