Triple
T8933548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian general election, 2005 |
E212717
|
entity |
| Predicate | resultedInFirstElectedFemaleHeadOfStateInAfrica |
P86269
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Liberian general election, 2005, resultedInFirstElectedFemaleHeadOfStateInAfrica, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultedInFirstElectedFemaleHeadOfStateInAfrica Context triple: [Liberian general election, 2005, resultedInFirstElectedFemaleHeadOfStateInAfrica, true]
-
A.
isFirstFemaleHolderOfOffice
Indicates that a person is the first woman ever to hold a particular office or position.
-
B.
hasFemaleLeader
Indicates that the subject entity is led or governed by a woman in a primary leadership role.
-
C.
countryFirstToGrantWomenVote
Indicates that the subject country was the earliest or among the earliest to legally grant women the right to vote.
-
D.
succeededByAsHeadOfState
Indicates that one individual directly followed another in the role of head of state.
-
E.
firstFemaleHolderDate
Indicates the date on which the first female individual came to hold a given position, title, or role.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668fa87c8190bfeda820368b89e4 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc608331f88190bcb500ff63527f8a |
completed | April 1, 2026, 12:02 a.m. |
Created at: March 30, 2026, 6:57 p.m.