Triple
T12839376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meshginshahr |
E307005
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Meshkinshahr |
E307005
|
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: Meshkinshahr | Statement: [Meshginshahr, alternativeName, Meshkinshahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meshkinshahr Context triple: [Meshginshahr, alternativeName, Meshkinshahr]
-
A.
Meshginshahr
chosen
Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
-
B.
Neyshabur
Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
-
C.
Piranshahr
Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
-
D.
Azarshahr
Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
-
E.
Juybar
Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7396b901c81908bfac5b40e3caed4 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 9, 2026, 5:35 p.m.