Triple

T4437885
Position Surface form Disambiguated ID Type / Status
Subject Al Mahara E95695 entity
Predicate name P16 FINISHED
Object Al Mahara E95695 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 Mahara | Statement: [Al Mahara, name, Al Mahara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Mahara
Context triple: [Al Mahara, name, Al Mahara]
  • A. Al Mahara chosen
    Al Mahara is a high-end seafood restaurant in Dubai renowned for its immersive floor-to-ceiling aquarium setting inside the iconic Burj Al Arab hotel.
  • B. Al Mana
    Al Mana is a Qatari family name associated with a prominent business and entrepreneurial clan in the Gulf region.
  • C. Al Khurmah
    Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
  • D. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
  • E. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558c75948190875a5fb10eac0597 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137960908190814cbdf0b4e56542 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.