Triple

T17800967
Position Surface form Disambiguated ID Type / Status
Subject Muzaffargarh E444422 entity
Predicate roadConnection P385 FINISHED
Object Layyah 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: Layyah | Statement: [Muzaffargarh, roadConnection, Layyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Layyah
Context triple: [Muzaffargarh, roadConnection, Layyah]
  • A. Layyah chosen
    Layyah is a prominent city in Pakistan’s southern Punjab region, known as an agricultural and commercial hub for the surrounding rural areas.
  • B. Juhayna
    Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
  • C. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • D. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • E. Alaa
    Alaa is an Arabic given name commonly used for both males and females in the Middle East and North Africa.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.