Triple
T26962360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph DLG Torres |
E679079
|
entity |
| Predicate | lostReelectionTo |
P41562
|
FINISHED |
| Object | Arnold Palacios |
—
|
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: Arnold Palacios | Statement: [Ralph DLG Torres, lostReelectionTo, Arnold Palacios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostReelectionTo Context triple: [Ralph DLG Torres, lostReelectionTo, Arnold Palacios]
-
A.
lostQuorumOn
Indicates that an entity previously part of a decision-making group no longer has enough participating members to meet the required quorum as of a specific time or event.
-
B.
lostElectoralDignityTo
Indicates that one political figure or entity lost an electoral position, title, or honor to another in an election or similar voting process.
-
C.
losesElectionFor
chosen
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
-
D.
didNotSeekReelection
Indicates that an officeholder chose not to run again for their current position at the end of their term.
-
E.
lostLeader
Indicates that an entity intentionally sells a product at a loss to attract customers or promote other sales.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620ec8e108190966b7b8142a3e28d |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:32 a.m.