Triple

T17294245
Position Surface form Disambiguated ID Type / Status
Subject Shush E419862 entity
Predicate region P40 FINISHED
Object Khuzestan plain E152248 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: Khuzestan plain | Statement: [Shush, region, Khuzestan plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khuzestan plain
Context triple: [Shush, region, Khuzestan plain]
  • A. Qazvin plain
    Qazvin plain is a fertile agricultural lowland in northwestern Iran known for its extensive farmlands and strategic location near the Alborz Mountains.
  • B. Sultaniyeh plain
    The Sultaniyeh plain is a broad, fertile plateau in northwestern Iran that surrounds the historic city of Sultaniyeh, known for its agricultural lands and strategic location.
  • C. Khuzestan chosen
    Khuzestan is an oil-rich, ethnically diverse province in southwestern Iran, known historically as part of ancient Elam and as a major battleground during the Iran–Iraq War.
  • D. Marvdasht plain
    Marvdasht plain is a fertile agricultural region in Fars Province, Iran, known for encompassing major ancient sites such as Persepolis and Pasargadae.
  • E. Tabriz plain
    Tabriz plain is a broad, fertile lowland region in northwestern Iran that surrounds the city of Tabriz and supports extensive agriculture and settlement.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d66bb8819086eb2c72b4dcbafb completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.