Triple

T17590463
Position Surface form Disambiguated ID Type / Status
Subject El Beida E428432 entity
Predicate alternativeName P39 FINISHED
Object Al Bayda’ 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 Bayda’ | Statement: [El Beida, alternativeName, Al Bayda’]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Bayda’
Context triple: [El Beida, alternativeName, Al Bayda’]
  • A. Al Bayda chosen
    Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
  • B. Dar el-Batha
    Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
  • C. Misrata
    Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
  • D. Djimla
    Djimla is a small town and commune located in northeastern Algeria within the coastal and mountainous region of Jijel Province.
  • E. Ain Defla
    Ain Defla is a town and provincial capital in northern Algeria known for its agricultural surroundings and strategic location along major transport routes.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e6e3888190b73a5b6d7e8c0a55 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.