Triple
T30989348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar–Saudi Arabia relations |
E789622
|
entity |
| Predicate | QatarPositionOnBlockade |
P87926
|
FINISHED |
| Object | rejected terrorism allegations |
—
|
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: rejected terrorism allegations | Statement: [Qatar–Saudi Arabia relations, QatarPositionOnBlockade, rejected terrorism allegations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: QatarPositionOnBlockade Context triple: [Qatar–Saudi Arabia relations, QatarPositionOnBlockade, rejected terrorism allegations]
-
A.
QatarPosition
chosen
Indicates a positional or locational relationship involving Qatar, such as where something is situated in or relative to Qatar.
-
B.
distanceToQatarCoast
Indicates the measured or calculated distance between a given location and the coastline of Qatar.
-
C.
tookControlOfBahrain
Indicates that one entity assumed authority or dominion over Bahrain, gaining control of its governance or territory.
-
D.
differenceFromFlagOfQatar
Indicates that something is characterized by how it differs from the flag of Qatar.
-
E.
politicalPositionOnCuba
Indicates a stance, view, or policy position that an entity holds regarding Cuba or Cuba-related issues.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:56 p.m.