Triple
T17662695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Barsha 1 |
E440291
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Al Barsha |
—
|
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: Al Barsha | Statement: [Al Barsha 1, locatedIn, Al Barsha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Barsha Context triple: [Al Barsha 1, locatedIn, Al Barsha]
-
A.
Al Barsha
chosen
Al Barsha is a residential and commercial district in western Dubai, United Arab Emirates, known for its proximity to major shopping centers and easy access to Sheikh Zayed Road.
-
B.
Ad-Duha
Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
-
C.
Al Badayea
Al Badayea is a town in central Saudi Arabia located within the Qassim Region, known for its agricultural activity and traditional desert environment.
-
D.
Al Asyah
Al Asyah is a town located in Saudi Arabia’s Qassim Region, known for its traditional desert environment and agricultural activities.
-
E.
Al Shahran
Al Shahran is a prominent Arabian subtribe historically associated with the larger Qahtan tribal confederation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:51 a.m.