Triple

T4964239
Position Surface form Disambiguated ID Type / Status
Subject Shimon bar Yochai E111480 entity
Predicate associatedPlace P1481 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: [Shimon bar Yochai, associatedPlace, Meron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meron
Context triple: [Shimon bar Yochai, associatedPlace, 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. Barka Kunama
    Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
  • E. Talagante
    Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f555b48190984ee914ba1a91ee completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81edb99481909397559479c3badb completed March 21, 2026, 11:33 a.m.
Created at: March 20, 2026, 1:32 p.m.