Triple
T26016137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Coghlan |
E647027
|
entity |
| Predicate | campaignHeldIn |
P159670
|
FINISHED |
| Object | November |
—
|
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: November | Statement: [Justin Coghlan, campaignHeldIn, November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignHeldIn Context triple: [Justin Coghlan, campaignHeldIn, November]
-
A.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
-
B.
typicallyHeldIn
Indicates that an event, activity, or process most commonly or usually takes place within a particular location, venue, or context.
-
C.
festivalHeldIn
Indicates that a festival takes place or is hosted at a specific location or venue.
-
D.
campaignOrganizedBy
Indicates that a campaign is organized, coordinated, or run by a specified agent or organization.
-
E.
officeHeldIn
Indicates that a particular office or position is held within or associated with a specific geographic or administrative location.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b99f9c819088e3a15a2f69dc15 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 9:03 a.m.