Triple
T3733795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Veracruz |
E79129
|
entity |
| Predicate | officeCreatedAs |
P4759
|
FINISHED |
| Object | executive head of the State of Veracruz |
—
|
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: executive head of the State of Veracruz | Statement: [Governor of Veracruz, officeCreatedAs, executive head of the State of Veracruz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeCreatedAs Context triple: [Governor of Veracruz, officeCreatedAs, executive head of the State of Veracruz]
-
A.
officeCreatedFor
Indicates that an office or position was established specifically to serve, represent, or support a particular entity.
-
B.
officeCreatedUnder
chosen
Indicates that an office was established or formed under the authority, jurisdiction, or organizational structure of a particular entity or governing body.
-
C.
officeCreatedAsResultOf
Indicates that an office came into existence as a consequence of a specific preceding event, action, or process.
-
D.
officeSucceededBy
Indicates that one office or position is followed or replaced by another office or position in a succession sequence.
-
E.
officeSucceeded
Indicates that one office or term of office directly followed and replaced another in a sequence.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb2457f08190a6b94e9895fced2c |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.