Triple

T4838978
Position Surface form Disambiguated ID Type / Status
Subject Rashbi E108131 entity
Predicate burialPlace P196 FINISHED
Object Meron E104864 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: Meron | Statement: [Rashbi, burialPlace, Meron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meron
Context triple: [Rashbi, burialPlace, Meron]
  • A. Hamra
    Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
  • B. Mount Meron chosen
    Mount Meron is a prominent mountain in northern Israel known for its religious significance, nature reserves, and status as one of the country's highest peaks.
  • C. Ḥimṣ
    Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
  • D. Talagante
    Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
  • E. Emesa
    Emesa is the ancient name of the Syrian city now known as Homs, historically significant as a religious and trading center in Roman and early Christian times.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce4a5108190aede620d5dde1f81 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cc5861881908ad3838168325a34 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.