Triple

T4412549
Position Surface form Disambiguated ID Type / Status
Subject Al Muntaha E94883 entity
Predicate name P16 FINISHED
Object Al Muntaha E94883 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: Al Muntaha | Statement: [Al Muntaha, name, Al Muntaha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Muntaha
Context triple: [Al Muntaha, name, Al Muntaha]
  • A. Al Muntaha chosen
    Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
  • B. Khatima
    Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
  • C. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • D. Al-Masad
    Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • E. Ad-Duha
    Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6131de08190968259a0be73cd3f completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.