Triple
T20963484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamut |
E516307
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Qazvin |
—
|
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: Qazvin | Statement: [Alamut, near, Qazvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qazvin Context triple: [Alamut, near, Qazvin]
-
A.
Qazvin
chosen
Qazvin is a historic city in northwestern Iran known for its rich cultural heritage, traditional architecture, and role as a former capital of the Persian Empire.
-
B.
Karaj
Karaj is a major city in north-central Iran, located just west of Tehran and serving as an important industrial and residential hub in the Alborz province.
-
C.
Zanjan
Zanjan is a city in northwestern Iran that serves as the capital of Zanjan Province and is known for its traditional handicrafts, historical sites, and proximity to the Soltaniyeh Dome.
-
D.
Hamadan
Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in the region.
-
E.
Kashan
Kashan is an Iranian city renowned for its rich history, traditional architecture, and production of high-quality Persian carpets.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb710d6c8190a2daacaad3b22683 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:32 p.m.