Triple
T15388505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firozkoh |
E367974
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Firuzkuh |
E783584
|
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: Firuzkuh | Statement: [Firozkoh, hasAlternativeName, Firuzkuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firuzkuh Context triple: [Firozkoh, hasAlternativeName, Firuzkuh]
-
A.
Firuzkuh
chosen
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
B.
Mozzafarieh
Mozzafarieh is a notable section of the Tabriz Historic Bazaar Complex, traditionally associated with specialized trade and craftsmanship within the bazaar.
-
C.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
D.
Kowsar
Kowsar is a small city in northwestern Iran known for its location within Ardabil Province and its surrounding mountainous landscape.
-
E.
Kalaleh
Kalaleh is a city in northeastern Iran known as a local administrative and agricultural center.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134bf8b4819092d77c44d0207e3b |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.