Triple
T1318647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Director-General of the World Trade Organization |
E28164
|
entity |
| Predicate | officeHolderTimeSpan |
P17403
|
FINISHED |
| Object | Roberto Azevêdo:2013-2017 |
—
|
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: Roberto Azevêdo:2013-2017 | Statement: [Director-General of the World Trade Organization, officeHolderTimeSpan, Roberto Azevêdo:2013-2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTimeSpan Context triple: [Director-General of the World Trade Organization, officeHolderTimeSpan, Roberto Azevêdo:2013-2017]
-
A.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
B.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
E.
setsTermOfOfficeFor
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1780be8819083a9365b8a49305d |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.