Triple

T22338795
Position Surface form Disambiguated ID Type / Status
Subject Al Ahly WE Al Salam Stadium E552219 entity
Predicate neighborhood P988 FINISHED
Object Al Salam City 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: Al Salam City | Statement: [Al Ahly WE Al Salam Stadium, neighborhood, Al Salam City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Salam City
Context triple: [Al Ahly WE Al Salam Stadium, neighborhood, Al Salam City]
  • A. El Salam City chosen
    El Salam City is a residential and industrial suburb located on the northeastern outskirts of Greater Cairo in Egypt.
  • B. Yasmine City
    Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
  • C. Badr City
    Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
  • D. Al-Tall city
    Al-Tall city is a Syrian urban center located just north of Damascus, known for its hillside setting and role as a local administrative and commercial hub.
  • E. Sadat City
    Sadat City is a planned industrial and residential city in Egypt, developed as part of the country’s strategy to create new urban centers and relieve population pressure on major metropolitan areas.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.