Triple
T283182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Director-General of UNESCO |
E5831
|
entity |
| Predicate | incumbentNationality |
P2
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Director-General of UNESCO, incumbentNationality, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentNationality Context triple: [Director-General of UNESCO, incumbentNationality, French]
-
A.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
B.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
C.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
-
D.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
E.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e0c14b48190a5c936bab36180b3 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b795a6c8190944d48e8418e0ccd |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.