Triple
T7714863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Udeid Air Base |
E174854
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Al Rayyan Municipality |
E81825
|
NE 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: Al Rayyan Municipality | Statement: [Al Udeid Air Base, locatedIn, Al Rayyan Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Rayyan Municipality Context triple: [Al Udeid Air Base, locatedIn, Al Rayyan Municipality]
-
A.
Al Shahaniya Municipality
Al Shahaniya Municipality is an administrative region in western Qatar known for its desert landscapes, camel racing track, and growing residential and industrial developments.
-
B.
Hamad Town
Hamad Town is a planned residential town in Bahrain known for its large roundabouts and diverse, predominantly middle-class population.
-
C.
Al Rayyan
chosen
Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
-
D.
الجهراء
الجهراء هي مدينة كويتية تقع غرب مدينة الكويت وتعد من أكبر محافظات البلاد من حيث المساحة والسكان.
-
E.
Al Daayen Municipality
Al Daayen Municipality is one of Qatar’s administrative municipalities, situated in the northeastern part of the country and encompassing rapidly developing urban and educational areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cbe74081908502ac670515fa3c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b508fa2081908ed05ca8c4815249 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:04 p.m.