Triple

T9803088
Position Surface form Disambiguated ID Type / Status
Subject Bayda E237887 entity
Predicate alternativeName P39 FINISHED
Object El Beida E428432 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: El Beida | Statement: [Bayda, alternativeName, El Beida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Beida
Context triple: [Bayda, alternativeName, El Beida]
  • A. El Beida chosen
    El Beida is a city commonly known as Al Bayda, located in eastern Libya and serving as an important regional administrative and commercial center.
  • B. El Azbakeya
    El Azbakeya is a historic district in central Cairo known for its cultural landmarks, markets, and longstanding role as an urban hub of the city.
  • C. Dar al-Maaref
    Dar al-Maaref is an Egyptian publishing house known for issuing influential Arabic literary and cultural works.
  • D. Madarihat
    Madarihat is a small town in West Bengal, India, known primarily as the main gateway and service hub for visitors to Jaldapara National Park.
  • E. Medina of Salé
    The Medina of Salé is a historic walled old town in northwestern Morocco, known for its traditional architecture, markets, and role as a former corsair stronghold opposite Rabat.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab78832481909b184b21a8a46e50 completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4538760819099ba1e392d31a135 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.