Triple

T6531839
Position Surface form Disambiguated ID Type / Status
Subject Khuzestan E152248 entity
Predicate containsCity P294 FINISHED
Object Shushtar E573404 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: Shushtar | Statement: [Khuzestan, containsCity, Shushtar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shushtar
Context triple: [Khuzestan, containsCity, Shushtar]
  • A. Shushtar chosen
    Shushtar is a historic city in southwestern Iran, renowned for its ancient hydraulic system and rich cultural heritage.
  • B. Rising Park
    Rising Park is a popular public park in Lancaster, Ohio, known for its scenic trails, playgrounds, and panoramic views from Mount Pleasant.
  • C. Beaver Falls
    Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
  • D. Beaver Falls
    Beaver Falls is a series of striking turquoise-blue waterfalls and pools along Havasu Creek in the Grand Canyon, renowned for their scenic beauty and popularity among hikers visiting Havasupai lands.
  • E. Mattersburg
    Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbcf820819097ca33a5fc14fd64 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52facf48190adbbd139a7044814 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:46 p.m.