Triple
T20406550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajrish |
E500481
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Darband |
—
|
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: Darband | Statement: [Tajrish, nearby, Darband]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darband Context triple: [Tajrish, nearby, Darband]
-
A.
Darband
Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
-
B.
Darband
chosen
Darband is a popular mountainous neighborhood and hiking gateway in northern Tehran, Iran, known for its scenic trails, riverside cafés, and traditional restaurants.
-
C.
Nehbandan
Nehbandan is a city in eastern Iran known for its desert climate and location within South Khorasan Province.
-
D.
Farashband
Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
-
E.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67992cfb88190ae49a1723e6667a1 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.