Triple
T33885672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long political family |
E868625
|
entity |
| Predicate | hasHeldOfficeLevel |
P120266
|
FINISHED |
| Object | state |
—
|
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: state | Statement: [Long political family, hasHeldOfficeLevel, state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeldOfficeLevel Context triple: [Long political family, hasHeldOfficeLevel, state]
-
A.
hasHeldOfficeType
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
-
B.
heldPoliticalOfficeIn
Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
-
C.
hasLeaderHeldOffice
Indicates that the specified leader has occupied or served in an official office or position.
-
D.
stateLevelOfficeHeld
chosen
Indicates that an entity has held a public office or position within a state-level government.
-
E.
hasMemberWhoHeldOffice
Indicates that a group or organization includes at least one member who has held a specified 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 1, 2026, 1:48 a.m.