Triple
T241807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillary Clinton 2016 presidential campaign |
E4945
|
entity |
| Predicate | debateCountGeneralElection |
P9217
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Hillary Clinton 2016 presidential campaign, debateCountGeneralElection, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debateCountGeneralElection Context triple: [Hillary Clinton 2016 presidential campaign, debateCountGeneralElection, 3]
-
A.
electionNumber
Indicates the specific ordinal or identifying number assigned to a particular election within a series or system of elections.
-
B.
debatedAt
Indicates that a debate or formal discussion involving the subject took place at the specified location or event.
-
C.
electionParticipatedIn
Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
-
D.
electionCycle
Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
-
E.
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.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d3463648190ac716d7475378536 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.