Triple
T9672782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José María Pino Suárez |
E234068
|
entity |
| Predicate | termEndAsGovernorOfYucatán |
P89551
|
FINISHED |
| Object | 1911 |
—
|
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: 1911 | Statement: [José María Pino Suárez, termEndAsGovernorOfYucatán, 1911]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsGovernorOfYucatán Context triple: [José María Pino Suárez, termEndAsGovernorOfYucatán, 1911]
-
A.
termEndAsGovernorOfMichigan
Indicates the time or event at which an individual's service as Governor of Michigan comes to an end.
-
B.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
C.
termEndAsGovernorOfTennessee
Indicates the date or point in time when an individual’s service as Governor of Tennessee came to an end.
-
D.
termEndAsUNGAPresident
Indicates that an individual's tenure or service as President of the United Nations General Assembly has concluded.
-
E.
termEndAsMayorOfLosAngeles
Indicates that a person’s tenure serving as the mayor of Los Angeles has concluded.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:15 p.m.