Triple
T16117236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moderator of the Free Presbyterian Church of Ulster |
E391033
|
entity |
| Predicate | officeInception |
P121539
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Moderator of the Free Presbyterian Church of Ulster, officeInception, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeInception Context triple: [Moderator of the Free Presbyterian Church of Ulster, officeInception, 20th century]
-
A.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
B.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
C.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
-
D.
officeAfter
Indicates that one office or term of office occurs chronologically after another office or term.
-
E.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016b5c948190b0f1eccb97ee85cc |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.