Triple
T9186679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Iran |
E220475
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Meshginshahr |
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: Meshginshahr | Statement: [Northwestern Iran, hasMajorCity, Meshginshahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meshginshahr Context triple: [Northwestern Iran, hasMajorCity, Meshginshahr]
-
A.
Meshginshahr
chosen
Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
-
B.
Babolsar
Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
-
C.
Juybar
Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
-
D.
Nowshahr
Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
-
E.
Sardasht
Sardasht is a Kurdish-populated city in Iran’s West Azerbaijan province, historically known for being one of the first civilian targets of large-scale chemical weapons attacks during the Iran–Iraq War.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31a52508190a83ccd76f3aa039b |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d380b6a39c8190ade06ba0249ffa79 |
completed | April 6, 2026, 9:45 a.m. |
Created at: March 30, 2026, 7:24 p.m.