Triple
T22474535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Subdistrict |
E555592
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Qalansawe |
—
|
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: Qalansawe | Statement: [Sharon Subdistrict, contains, Qalansawe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qalansawe Context triple: [Sharon Subdistrict, contains, Qalansawe]
-
A.
Qalansawe
chosen
Qalansawe is an Arab city in central Israel known for its predominantly Palestinian population and location within the Triangle region.
-
B.
Al Qalah
Al Qalah is a village in Bahrain located within the country's Northern Governorate.
-
C.
Qanawat
Qanawat is an ancient archaeological site in southern Syria known for its well-preserved Roman and Byzantine-era ruins.
-
D.
Qataban
Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
-
E.
Awaqir
Awaqir is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.