Triple
T10301634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Mébiame |
E241644
|
entity |
| Predicate | officeEndForPrimeMinisterOfGabon |
P92993
|
FINISHED |
| Object | 1990-05-03 |
—
|
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: 1990-05-03 | Statement: [Léon Mébiame, officeEndForPrimeMinisterOfGabon, 1990-05-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForPrimeMinisterOfGabon Context triple: [Léon Mébiame, officeEndForPrimeMinisterOfGabon, 1990-05-03]
-
A.
officeEnd as Prime Minister of Tunisia
Indicates the date or point in time when an individual’s tenure as Prime Minister of Tunisia comes to an end.
-
B.
officeStartForPrimeMinisterOfPortugal
Indicates the date or event marking when an individual begins their term in office as the Prime Minister of Portugal.
-
C.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
-
D.
officeEndForPresidentOfBolivia
Indicates the date or event marking when an individual's term as President of Bolivia comes to an end.
-
E.
primeMinisterAtEnd
Indicates that a person holds the position of prime minister at the conclusion of a specified period, event, or term.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30716d8819085e25a78e6af3b9d |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:44 a.m.