Triple

T3507973
Position Surface form Disambiguated ID Type / Status
Subject Borg El Arab Airport E74122 entity
Predicate cityServed P82 FINISHED
Object Borg El Arab E99607 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: Borg El Arab | Statement: [Borg El Arab Airport, cityServed, Borg El Arab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borg El Arab
Context triple: [Borg El Arab Airport, cityServed, Borg El Arab]
  • A. Borg El Arab chosen
    Borg El Arab is a town in Egypt’s Alexandria Governorate known for its industrial zone, new urban developments, and proximity to the Mediterranean coast.
  • B. El Sharabiya
    El Sharabiya is a district within the urban area of Cairo, Egypt, known primarily as a densely populated residential and commercial neighborhood.
  • C. Al Okhdood Club
    Al Okhdood Club is a professional football team from Saudi Arabia that competes in the country’s top-tier Saudi Pro League.
  • D. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • E. Al Wasl
    Al Wasl is a prominent professional football club based in Dubai, United Arab Emirates, known for its passionate fanbase and historic success in domestic competitions.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0b635c81909bc95ba2562d8f94 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6da490819093a5f574ff0b6b00 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.