Triple
T9581201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Ibáñez del Campo |
E231173
|
entity |
| Predicate | firstTermAsPresidentEnd |
P5110
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Carlos Ibáñez del Campo, firstTermAsPresidentEnd, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTermAsPresidentEnd Context triple: [Carlos Ibáñez del Campo, firstTermAsPresidentEnd, 1931]
-
A.
endOfFirstPresidency
chosen
Indicates the point in time when an entity’s first term in a presidential office concludes.
-
B.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
-
C.
vicePresidentialTermEnd
Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
-
D.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
E.
endOfSecondPresidency
Indicates the point in time when an entity’s second term in a presidential office concludes.
- 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_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. |
Created at: March 30, 2026, 8:05 p.m.