Triple

T6242374
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro Line 2 E139634 entity
Predicate hasStation P35 FINISHED
Object Faisal E438016 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: Faisal | Statement: [Cairo Metro Line 2, hasStation, Faisal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faisal
Context triple: [Cairo Metro Line 2, hasStation, Faisal]
  • A. Faisal chosen
    Faisal is a male given name of Arabic origin, historically borne by several notable Middle Eastern leaders and royals.
  • B. Shah Karim al-Husayni
    Shah Karim al-Husayni, known as Aga Khan IV, is the 49th hereditary Imam of the Nizari Ismaili Muslims and a prominent philanthropist and spiritual leader.
  • C. Mustafa Abdul Jalil
    Mustafa Abdul Jalil is a Libyan politician and former justice minister who became a leading figure of the opposition and head of the National Transitional Council during the 2011 uprising against Muammar Gaddafi.
  • D. Asad
    Asad is the early pen name used by the renowned 19th-century Urdu and Persian poet Mirza Ghalib.
  • E. Hussein
    Hussein is a common Arabic surname and given name, notably borne by former Iraqi president Saddam Hussein.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631933488190838b424ec0fc2155 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e0d62208190928bab473ca64417 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.