Triple
T9581200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Ibáñez del Campo |
E231173
|
entity |
| Predicate | firstTermAsPresidentStart |
P14209
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [Carlos Ibáñez del Campo, firstTermAsPresidentStart, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTermAsPresidentStart Context triple: [Carlos Ibáñez del Campo, firstTermAsPresidentStart, 1927]
-
A.
presidentTermStart
chosen
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
B.
termAsActingPresidentStart
Indicates the date or point in time when an individual begins serving in the role of acting president.
-
C.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
originalInaugurationDate
Indicates the date on which an entity (such as an office, institution, or facility) was first formally inaugurated or put into official operation.
- 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.