Triple
T11800143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Morelos |
E280601
|
entity |
| Predicate | termStartOfCurrentOfficeHolder |
P48963
|
FINISHED |
| Object | 1 October 2018 |
—
|
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: 1 October 2018 | Statement: [Governor of Morelos, termStartOfCurrentOfficeHolder, 1 October 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartOfCurrentOfficeHolder Context triple: [Governor of Morelos, termStartOfCurrentOfficeHolder, 1 October 2018]
-
A.
lastOfficeHolderStartDate
chosen
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
B.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
firstOfficeHolderStart
Indicates the date or time when the first person to hold a particular office or position began their term.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
currentIncumbentStartYear
Indicates the year in which the entity’s current incumbent began their tenure or term in that role.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.