Triple

T21661775
Position Surface form Disambiguated ID Type / Status
Subject Beirut Governorate E534610 entity
Predicate contains P35 FINISHED
Object Ras Beirut 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: Ras Beirut | Statement: [Beirut Governorate, contains, Ras Beirut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ras Beirut
Context triple: [Beirut Governorate, contains, Ras Beirut]
  • A. Ras Beirut chosen
    Ras Beirut is a vibrant, historically cosmopolitan coastal district of Beirut known for its cultural diversity, educational institutions, and lively urban atmosphere.
  • B. Zababdeh
    Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
  • C. 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.
  • D. Al-Darb
    Al-Darb is a town in southwestern Saudi Arabia located within the coastal Jazan Region along the Red Sea.
  • E. Kel Ajjer
    Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0883d481908dfdc66832c34d74 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.