Triple
T22040472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarkhan |
E544624
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kafr Ammar |
—
|
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: Kafr Ammar | Statement: [Tarkhan, locatedNear, Kafr Ammar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kafr Ammar Context triple: [Tarkhan, locatedNear, Kafr Ammar]
-
A.
Kafr Nabl
Kafr Nabl is a town in northwestern Syria known for its prominent role in the Syrian uprising and its widely shared, satirical protest banners.
-
B.
Kafr Qaddum
Kafr Qaddum is a Palestinian village in the northern West Bank known for its long-running weekly protests against Israeli settlement expansion and road closures.
-
C.
Kafr Zita
Kafr Zita is a town in northwestern Syria that has been significantly affected by the Syrian civil war, including heavy bombardment and displacement of its residents.
-
D.
Kafr Yasif
Kafr Yasif is a predominantly Arab town in the Western Galilee region of northern Israel, known for its mixed Christian, Muslim, and Druze population and continuous habitation since ancient times.
-
E.
Kafr Saad
chosen
Kafr Saad is a town in northeastern Egypt situated within the Nile Delta 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.