Triple

T10547753
Position Surface form Disambiguated ID Type / Status
Subject Qusta ibn Luqa E248865 entity
Predicate placeOfOrigin P3743 FINISHED
Object Baalbek E531936 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: Baalbek | Statement: [Qusta ibn Luqa, placeOfOrigin, Baalbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baalbek
Context triple: [Qusta ibn Luqa, placeOfOrigin, Baalbek]
  • A. Baalbek chosen
    Baalbek is an ancient city in Lebanon renowned for its monumental Roman temple complex and well-preserved archaeological ruins.
  • B. Balamand
    Balamand is a locality in northern Lebanon best known for hosting the historic Balamand Monastery and the main campus of the University of Balamand.
  • C. Deir el Qamar
    Deir el Qamar is a historic Lebanese village in the Chouf region known for its well-preserved traditional architecture and former role as a political and cultural center of Mount Lebanon.
  • D. Ṭarābulus
    Ṭarābulus is the Arabic name for Tripoli, a major historic port city and the capital of Libya on the Mediterranean coast.
  • E. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93457af7c819090f576ae606c5849 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:33 p.m.