Triple
T34144386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mays Gilliam |
E875807
|
entity |
| Predicate | electionCampaignLocation |
P39699
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Mays Gilliam, electionCampaignLocation, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionCampaignLocation Context triple: [Mays Gilliam, electionCampaignLocation, United States]
-
A.
locationOfCampaign
chosen
Indicates the place or geographic area where a particular campaign is conducted or based.
-
B.
campaignHeldIn
Indicates that a campaign takes place or is conducted within a specified location or venue.
-
C.
campaignHeadquartersLocation
Indicates the specific place where a political or organizational campaign’s main headquarters is located.
-
D.
locationOfPolling
Indicates the place where a polling or voting event is held or conducted.
-
E.
campaignEnvironment
Indicates the broader contextual setting or conditions (such as social, political, or market factors) within which a campaign is planned, executed, or evaluated.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 1:54 a.m.