Triple
T22734394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lar |
E562224
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Larestan |
—
|
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: Larestan | Statement: [Lar, historicalRegion, Larestan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larestan Context triple: [Lar, historicalRegion, Larestan]
-
A.
Larestan
chosen
Larestan is a county in southern Iran known for its historic towns, distinct local culture, and position within the broader Fars cultural region.
-
B.
Sarvestan
Sarvestan is a historic city in southern Iran known for its ancient Sassanid-era palace and archaeological sites.
-
C.
Alasht
Alasht is a small mountainous town in Mazandaran Province in northern Iran, best known as the birthplace of Reza Shah Pahlavi.
-
D.
Dorostol
Dorostol is the ancient name of the city now known as Silistra, a historically significant settlement on the Danube in northeastern Bulgaria.
-
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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796e4970819090fb9c9926673938 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.