Triple
T14818411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Khorasan Province |
E348379
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Tabas |
E1040657
|
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: Tabas | Statement: [South Khorasan Province, hasCity, Tabas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabas Context triple: [South Khorasan Province, hasCity, Tabas]
-
A.
Tabas
chosen
Tabas is a small desert city in central Iran known for its oasis landscapes, historical sites, and location along important regional transport routes.
-
B.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
C.
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.
-
D.
Minab
Minab is a city in southern Iran known for its agriculture, traditional markets, and proximity to the Persian Gulf.
-
E.
Margilan
Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f8b4148190bc24f9a307178419 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:50 a.m.