Triple
T22805862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beqaa Valley |
E564530
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Hermel |
—
|
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: Hermel | Statement: [Beqaa Valley, majorCity, Hermel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermel Context triple: [Beqaa Valley, majorCity, Hermel]
-
A.
Hermel
chosen
Hermel is a town in northeastern Lebanon known for its agricultural landscape, proximity to the Orontes River’s source, and location near the Syrian border.
-
B.
Evinayong
Evinayong is a town in mainland Equatorial Guinea that serves as an important local administrative and commercial center.
-
C.
Leshem
Leshem is an ancient Canaanite city in the northern Levant, later known as Laish and associated with the biblical tribe of Dan.
-
D.
Banias
Banias is an ancient site in the Golan Heights known for its springs, archaeological ruins, and historical sanctuary dedicated to the Greek god Pan.
-
E.
Banias
Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5c193481908550993e2547515d |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.