Triple

T11135442
Position Surface form Disambiguated ID Type / Status
Subject Fars Province E263396 entity
Predicate containsCity P294 FINISHED
Object Kherameh E907999 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: Kherameh | Statement: [Fars Province, containsCity, Kherameh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kherameh
Context triple: [Fars Province, containsCity, Kherameh]
  • A. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • B. Hawiyah
    Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
  • C. Hawiyah
    Hawiyah is a major gas plant and associated residential/industrial area in eastern Saudi Arabia that supports processing operations for the vast Ghawar oil field.
  • D. Kifri
    Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
  • E. Kharameh chosen
    Kharameh is a city in southern Iran known for its agricultural surroundings and location within Fars 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_69e463177bfc81908a3e66ffc0777777 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.