Triple

T6531075
Position Surface form Disambiguated ID Type / Status
Subject Christian heritage of Beirut E152230 entity
Predicate hasCenter P35 FINISHED
Object Gemmayzeh E153263 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: Gemmayzeh | Statement: [Christian heritage of Beirut, hasCenter, Gemmayzeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemmayzeh
Context triple: [Christian heritage of Beirut, hasCenter, Gemmayzeh]
  • A. Gemmayzeh chosen
    Gemmayzeh is a historic, bohemian neighborhood in Beirut known for its traditional architecture, vibrant nightlife, and cultural scene.
  • B. Achrafieh
    Achrafieh is a historic, predominantly Christian residential and commercial district in eastern Beirut known for its traditional architecture, vibrant nightlife, and cultural landmarks.
  • C. Ain Helwan
    Ain Helwan is a district in southern Cairo, Egypt, known as a residential and educational area connected to the city center by the Cairo Metro.
  • D. Shubra El Kheima
    Shubra El Kheima is a major industrial and residential city in Egypt that forms part of the northern extent of the Greater Cairo metropolitan area.
  • E. Nasr City
    Nasr City is a large, modern district in eastern Cairo known for its wide avenues, residential neighborhoods, commercial centers, and several major governmental and military landmarks.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbcf820819097ca33a5fc14fd64 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70064bfa48190bbb5b4f92dde8dde completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:46 p.m.