Triple
T13969404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Page (Virginia politician) |
E336013
|
entity |
| Predicate | servedAsGovernorNumber |
P111993
|
FINISHED |
| Object | 13th Governor of Virginia |
—
|
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: 13th Governor of Virginia | Statement: [John Page (Virginia politician), servedAsGovernorNumber, 13th Governor of Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsGovernorNumber Context triple: [John Page (Virginia politician), servedAsGovernorNumber, 13th Governor of Virginia]
-
A.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
B.
numberOfGovernors
Indicates the total count of governors associated with or governing a specified entity.
-
C.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
officeHeldAsGovernor
Indicates that an entity holds or has held the official position of governor of a political or administrative region.
-
E.
electedAsGovernorInYear
Indicates that a person attained the position of governor in a specified year.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.