Triple
T3296449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Carmel |
E69227
|
entity |
| Predicate | hasTownNearby |
P3883
|
FINISHED |
| Object | Isfiya |
E303839
|
NE FINISHED |
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: Isfiya | Statement: [Mount Carmel, hasTownNearby, Isfiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isfiya Context triple: [Mount Carmel, hasTownNearby, Isfiya]
-
A.
Isfiya
chosen
Isfiya is a Druze-majority village and local council located on Mount Carmel in northern Israel.
-
B.
Nahariya
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
-
C.
Salfit
Salfit is a Palestinian city in the central West Bank that serves as the administrative center of the Salfit Governorate.
-
D.
Qalqilya
Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
-
E.
Tulkarm
Tulkarm is a Palestinian city in the northwestern West Bank, near the Green Line, known as an agricultural and commercial center with historical and political significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb078f3dc8190afb624f62894e48f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e9e414819088ec4b05495b86e1 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:10 p.m.