Triple
T18169719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naharayim/Baqura area |
E434991
|
entity |
| Predicate | arabicName |
P6450
|
FINISHED |
| Object | Baqura |
—
|
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: Baqura | Statement: [Naharayim/Baqura area, arabicName, Baqura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baqura Context triple: [Naharayim/Baqura area, arabicName, Baqura]
-
A.
Baqura
chosen
Baqura is a small, historically contested border area between Jordan and Israel, notable for its agricultural land and its role in the 1994 Israel–Jordan peace treaty land arrangements.
-
B.
Didgori
Didgori is a historic site in eastern Georgia renowned as the location of the decisive 1121 battle where King David IV’s forces defeated the Seljuk Turks.
-
C.
Bazarduzu
Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
-
D.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
E.
Khansar
Khansar is a historic city in central Iran known for its traditional architecture, cool climate, and production of honey and dairy products.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df555af081908a2f12bce6a13f56 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.