Triple

T19883954
Position Surface form Disambiguated ID Type / Status
Subject Yarze E477845 entity
Predicate nearbyCity P350 FINISHED
Object Hazmieh NE NERFINISHED

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: Hazmieh | Statement: [Yarze, nearbyCity, Hazmieh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazmieh
Context triple: [Yarze, nearbyCity, Hazmieh]
  • A. Hazmieh chosen
    Hazmieh is a suburban municipality southeast of Beirut, Lebanon, known for its residential neighborhoods, commercial centers, and strategic location near major highways.
  • B. Hafezieh
    Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
  • C. Mozzafarieh
    Mozzafarieh is a notable section of the Tabriz Historic Bazaar Complex, traditionally associated with specialized trade and craftsmanship within the bazaar.
  • D. Kharameh
    Kharameh is a city in southern Iran known for its agricultural surroundings and location within Fars Province.
  • E. Zafaraniyeh
    Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590870908190a18b545f0ff0ccd6 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.