Triple
T22493051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conde de Galve |
E556064
|
entity |
| Predicate | hasNotableOfficeHeldByBearer |
P67246
|
FINISHED |
| Object | Viceroy of New Spain |
—
|
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: Viceroy of New Spain | Statement: [Conde de Galve, hasNotableOfficeHeldByBearer, Viceroy of New Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableOfficeHeldByBearer Context triple: [Conde de Galve, hasNotableOfficeHeldByBearer, Viceroy of New Spain]
-
A.
hasHistoricalOfficeHolder
chosen
Indicates that an office, position, or role has been held by a specific person at some point in the past.
-
B.
hasMemberWhoHeldOffice
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
C.
hasLeaderHeldOffice
Indicates that the specified leader has occupied or served in an official office or position.
-
D.
hasPoliticalOfficeScope
Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
-
E.
hasHeldOfficeType
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb01b3481908a9143503b75167f |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.