Triple

T11135418
Position Surface form Disambiguated ID Type / Status
Subject Fars Province E263396 entity
Predicate containsCity P294 FINISHED
Object Marvdasht E581621 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: Marvdasht | Statement: [Fars Province, containsCity, Marvdasht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvdasht
Context triple: [Fars Province, containsCity, Marvdasht]
  • A. Marvdasht chosen
    Marvdasht is a prominent city in Iran’s Fars Province, known for its proximity to the ancient ruins of Persepolis and its role as an agricultural and cultural center in the region.
  • B. Nahavand
    Nahavand is a historic city in western Iran known as the site of a decisive 7th-century battle that contributed to the fall of the Sasanian Empire.
  • C. Babolsar
    Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
  • D. Sardasht
    Sardasht is a Kurdish-populated city in Iran’s West Azerbaijan province, historically known for being one of the first civilian targets of large-scale chemical weapons attacks during the Iran–Iraq War.
  • E. Torbat-e Heydarieh
    Torbat-e Heydarieh is a city in northeastern Iran known for its significant saffron production and location within Razavi Khorasan Province.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684c471b88190a4c79d907152b492 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:28 p.m.