Triple
T23029092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shushtar |
E573405
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Dezful |
—
|
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: Dezful | Statement: [Shushtar, near, Dezful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dezful Context triple: [Shushtar, near, Dezful]
-
A.
Dezful
chosen
Dezful is a historic city in southwestern Iran, known for its ancient bridges, traditional architecture, and distinctive local culture.
-
B.
Dezful County
Dezful County is an administrative division in Khuzestan Province, Iran, centered on the historic city of Dezful and known for its agricultural importance and cultural heritage.
-
C.
Marown
Marown is a rural parish located in the central part of the Isle of Man, known for its countryside landscape and small village communities.
-
D.
Haltwhistle
Haltwhistle is a small town in Northumberland, England, known as a gateway to Hadrian’s Wall and the surrounding Tyne Valley countryside.
-
E.
Abermain
Abermain is a town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847f453881909a8f2affb48c64f1 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.