Triple

T13504277
Position Surface form Disambiguated ID Type / Status
Subject Carmel E320971 entity
Predicate hasVariant P455 FINISHED
Object Karmel E320971 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: Karmel | Statement: [Carmel, hasVariant, Karmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karmel
Context triple: [Carmel, hasVariant, Karmel]
  • A. El Carmel
    El Carmel is a Barcelona neighborhood metro station situated on a hillside and known for its deep underground platforms and multiple escalators and elevators.
  • B. Carmel chosen
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • C. Mompeo
    Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • D. Minley
    Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
  • E. Kahana
    Kahana is a variant form of the Jewish surname Cohen, often used in Ashkenazi communities.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.