Triple
T22625486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isfiya local council |
E558404
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Carmel region |
—
|
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: Carmel region | Statement: [Isfiya local council, partOf, Carmel region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmel region Context triple: [Isfiya local council, partOf, Carmel region]
-
A.
Carmel
"Carmel" is a smooth jazz album by pianist and composer Joe Sample, noted for its melodic fusion of jazz, soul, and pop influences.
-
B.
Carmel
chosen
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
-
C.
Carmel
Carmel is a small town in Penobscot County, Maine, known for its rural character and role as a residential community within the greater Bangor–Penobscot Valley region.
-
D.
Carmel Market area
The Carmel Market area is a bustling open-air marketplace in central Tel Aviv known for its fresh produce, street food, and vibrant local atmosphere.
-
E.
Rio Fresco region
The Rio Fresco region is an area of the Brazilian Amazon known as part of the traditional territory of the Kayapó Indigenous people and characterized by dense rainforest and riverine ecosystems.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3d55b081908930ebff4372154f |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:01 p.m.