Triple
T19420684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bawshar |
E485842
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Al Ghubrah |
—
|
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 Ghubrah | Statement: [Bawshar, hasNeighborhood, Al Ghubrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Ghubrah Context triple: [Bawshar, hasNeighborhood, Al Ghubrah]
-
A.
Al Ghubra
chosen
Al Ghubra is a prominent residential and commercial district in Muscat, Oman, known for its shopping centers, schools, and coastal location.
-
B.
Al Kheesa
Al Kheesa is a village in the Al Daayen region of Qatar that has rapidly developed from a traditional settlement into a growing suburban area near Doha.
-
C.
Al Sakhama
Al Sakhama is a village in the Al Daayen Municipality of northeastern Qatar, known as a small residential settlement within the rapidly developing Doha metropolitan area.
-
D.
Al Majarrah
Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
-
E.
Al Qurnah
Al Qurnah is a town in southern Iraq located at the confluence of the Tigris and Euphrates rivers, often cited as a traditional site of the biblical Garden of Eden.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.