Triple
T18272773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray, Iran |
E437654
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Cheshmeh Ali |
—
|
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: Cheshmeh Ali | Statement: [Ray, Iran, hasLandmark, Cheshmeh Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheshmeh Ali Context triple: [Ray, Iran, hasLandmark, Cheshmeh Ali]
-
A.
Cheshmeh Ali
chosen
Cheshmeh Ali is a historic natural spring and archaeological site near Rey, Iran, known for its ancient settlements and cultural significance dating back to prehistoric times.
-
B.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
-
C.
Darrehshuri
Darrehshuri is one of the main tribal subgroups of the Qashqai confederation in southwestern Iran, known for its nomadic pastoralist traditions and distinct cultural identity.
-
D.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
E.
Garmeh
Garmeh is a small city in northeastern Iran, located within North Khorasan Province.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5004f0e7c8190a7206e193012a2d3 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.