Triple

T18199539
Position Surface form Disambiguated ID Type / Status
Subject Masjid Aqsa, Rabwah E435746 entity
Predicate locatedIn P40 FINISHED
Object Rabwah 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: Rabwah | Statement: [Masjid Aqsa, Rabwah, locatedIn, Rabwah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rabwah
Context triple: [Masjid Aqsa, Rabwah, locatedIn, Rabwah]
  • A. Rabwah chosen
    Rabwah is a town in Punjab, Pakistan, known as the headquarters and spiritual center of the Ahmadiyya Muslim Community.
  • B. Al-Uqair
    Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
  • C. Diwaniyah
    Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
  • D. Hussainiyah
    Hussainiyah is an alternative name for a Husseiniya, a congregation hall used by Shia Muslims for religious gatherings and commemorations, especially during Muharram.
  • E. Buraidah
    Buraidah is a major city in north-central Saudi Arabia and the capital of Al-Qassim Province, known as an important agricultural and commercial center.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.