Triple

T11229420
Position Surface form Disambiguated ID Type / Status
Subject Litani River E265781 entity
Predicate locatedNear P294 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: [Litani River, locatedNear, Baalbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baalbek
Context triple: [Litani River, locatedNear, 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad3eef408190937949e7b3bf0163 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.