Triple
T9581294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean presidential election, 1946 |
E231175
|
entity |
| Predicate | officeTermEndOfWinner |
P89926
|
FINISHED |
| Object | 1952 |
—
|
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: 1952 | Statement: [Chilean presidential election, 1946, officeTermEndOfWinner, 1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeTermEndOfWinner Context triple: [Chilean presidential election, 1946, officeTermEndOfWinner, 1952]
-
A.
officeAssumedByWinner
Indicates that a particular office or position is taken up or assumed by the winner of an election or contest.
-
B.
recordWinners
Indicates that an entity documents or stores information about the winners of a particular event, contest, or competition.
-
C.
termStartOfWinner
Indicates the starting date or point in time of the winner’s term in a given role or position.
-
D.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
-
E.
winnerFullName
Indicates the full personal name of the entity that is the winner in a given event or competition.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cbe79081909947b4d1389eb015 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:05 p.m.