Triple
T15795792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spence |
E382973
|
entity |
| Predicate | hasElectorsAsOf2019 |
P16492
|
FINISHED |
| Object | approximately 120000 |
—
|
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: approximately 120000 | Statement: [Spence, hasElectorsAsOf2019, approximately 120000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectorsAsOf2019 Context triple: [Spence, hasElectorsAsOf2019, approximately 120000]
-
A.
hasElectors
Indicates that an entity is associated with one or more electors who have the authority to vote or make a selection on its behalf.
-
B.
hasElectoralVotes
Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
-
C.
numberOfElectors
chosen
Indicates the total count of electors associated with a given entity or context.
-
D.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
-
E.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.