Triple
T13406634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Wakrah Souq |
E319976
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Al Wakrah |
E82869
|
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 Wakrah | Statement: [Al Wakrah Souq, locatedIn, Al Wakrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Wakrah Context triple: [Al Wakrah Souq, locatedIn, Al Wakrah]
-
A.
Al Wakrah
chosen
Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
-
B.
Kalba
Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
-
C.
Hamad Town
Hamad Town is a planned residential town in Bahrain known for its large roundabouts and diverse, predominantly middle-class population.
-
D.
Al-Doha
Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
-
E.
Thuwal
Thuwal is a small coastal village on the Red Sea in Saudi Arabia known for hosting the King Abdullah University of Science and Technology (KAUST).
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4be498819094798473a1bfd853 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942242cc8190aa94efae75370328 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:35 p.m.