Triple
T19420687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bawshar |
E485842
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Qurum |
—
|
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: Qurum | Statement: [Bawshar, hasNeighborhood, Qurum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qurum Context triple: [Bawshar, hasNeighborhood, Qurum]
-
A.
Qurum
chosen
Qurum is a coastal residential and commercial district in Muscat, Oman, known for its beaches, parks, and shopping areas.
-
B.
Qurayyat
Qurayyat is a city in northern Saudi Arabia near the Jordanian border, known as a key transit and trade hub in the Al Jawf region.
-
C.
Qurayyat
Qurayyat is a coastal town in northeastern Oman known for its traditional fishing, historic fort, and scenic beaches along the Gulf of Oman.
-
D.
Awaqir
Awaqir is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
-
E.
Qalansawe
Qalansawe is an Arab city in central Israel known for its predominantly Palestinian population and location within the Triangle region.
- 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.