Triple
T29952932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNAOC |
E760814
|
entity |
| Predicate | previousHighRepresentative |
P136726
|
FINISHED |
| Object | Nassir Abdulaziz Al-Nasser |
—
|
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: Nassir Abdulaziz Al-Nasser | Statement: [UNAOC, previousHighRepresentative, Nassir Abdulaziz Al-Nasser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousHighRepresentative Context triple: [UNAOC, previousHighRepresentative, Nassir Abdulaziz Al-Nasser]
-
A.
bestKnownRepresentative
Indicates that one entity is regarded as the most prominent or widely recognized example or representative of another entity.
-
B.
formerHighest
Indicates that an entity once held the highest rank, position, or status in a given context but no longer does.
-
C.
hasFormerHighRepresentative
Indicates that an entity previously held the role of High Representative for another entity or organization.
-
D.
previousHead
chosen
Indicates that one entity formerly held the position of head or leader of another entity before being succeeded.
-
E.
previousRecordHolder
Indicates that one entity was the former holder of a particular record before another entity surpassed or replaced it.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 29, 2026, 6:26 p.m.