Triple
T30273748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Mexican general election |
E769873
|
entity |
| Predicate | defeatedPresidentialCandidate |
P169043
|
FINISHED |
| Object | Ricardo Anaya |
—
|
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: Ricardo Anaya | Statement: [2018 Mexican general election, defeatedPresidentialCandidate, Ricardo Anaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defeatedPresidentialCandidate Context triple: [2018 Mexican general election, defeatedPresidentialCandidate, Ricardo Anaya]
-
A.
defeatedCandidate
Indicates that one candidate has won an election or contest against another candidate, causing the other to lose.
-
B.
backedPresidentialCandidate
Indicates that an entity supported or endorsed a particular individual as their choice for president.
-
C.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
D.
leadingCandidateOfDefeatedParty
Indicates that an individual is the primary or most prominent candidate of a political party that has lost an election or contest.
-
E.
lostPresidentialElection
Indicates that a candidate participated in a presidential election and was defeated rather than elected president.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680d66a008190b41625688670e25b |
completed | May 2, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:44 p.m.