Triple
T27963826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestine representative to the Arab League |
E704660
|
entity |
| Predicate | seatOfMission |
P156297
|
FINISHED |
| Object | Palestine mission to the Arab League in Cairo |
—
|
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: Palestine mission to the Arab League in Cairo | Statement: [Palestine representative to the Arab League, seatOfMission, Palestine mission to the Arab League in Cairo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatOfMission Context triple: [Palestine representative to the Arab League, seatOfMission, Palestine mission to the Arab League in Cairo]
-
A.
seatOfCommand
Indicates that one entity serves as the primary location from which another entity’s authority, control, or operations are directed and managed.
-
B.
placeOfMission
chosen
Indicates the location where a mission, assignment, or task is carried out or based.
-
C.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location or area.
-
D.
seatLocation
Indicates the spatial position or placement of a seat relative to a reference point or environment.
-
E.
seatLocatedAt
Indicates that a seat is positioned or situated at a specific location or place.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:33 p.m.