Triple
T34894043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1965 Algerian coup d’état |
E1006377
|
entity |
| Predicate | governmentHeadAfter |
P98358
|
FINISHED |
| Object | Houari Boumédiène |
—
|
NE NERFINISHED |
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: Houari Boumédiène | Statement: [1965 Algerian coup d’état, governmentHeadAfter, Houari Boumédiène]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentHeadAfter Context triple: [1965 Algerian coup d’état, governmentHeadAfter, Houari Boumédiène]
-
A.
subsequentHeadOfGovernment
chosen
Indicates that one entity served as the next head of government following another entity in an official succession.
-
B.
headOfGovernmentBody
Indicates that one entity serves as the chief executive or leading official in charge of governing another entity, typically a political or administrative body.
-
C.
governmentHeadDuringTerm
Indicates that a person served as the head of a government for the duration of a specified political term.
-
D.
headOfOffice
Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
-
E.
headOfGovernmentForOffice
Indicates that a person serves as the head of government corresponding to a specific governmental 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a017969ff908190a7a1a46b3f5ae362 |
completed | May 11, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a017609ff4c8190aba8a1864d39a608 |
completed | May 11, 2026, 6:24 a.m. |
Created at: May 3, 2026, 4 p.m.