Triple
T8735450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baharestan County |
E207370
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Nasimshahr |
E784586
|
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: Nasimshahr | Statement: [Baharestan County, capital, Nasimshahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasimshahr Context triple: [Baharestan County, capital, Nasimshahr]
-
A.
Nasirshahr
chosen
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
B.
Gulshanabad
Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
-
C.
Gulshanabad
Gulshanabad is a locality in the Medak region of Telangana, India, known primarily as the namesake of the Gulshanabad (Medak) administrative division.
-
D.
Eslamshahr
Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
-
E.
Mehdishahr
Mehdishahr is a city in north-central Iran known for its location in the mountainous region of Semnan Province and its relatively cool climate.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2b89988190bb7671e273026046 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c696913c819089f29ec899d4ee61 |
completed | April 4, 2026, 8:06 a.m. |
Created at: March 30, 2026, 6:37 p.m.