Triple

T13479044
Position Surface form Disambiguated ID Type / Status
Subject Carmelo E318321 entity
Predicate etymologicalOrigin P453 FINISHED
Object Carmel 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: Carmel | Statement: [Carmelo, etymologicalOrigin, Carmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel
Context triple: [Carmelo, etymologicalOrigin, Carmel]
  • A. Carmel chosen
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • B. Carmel, Indiana
    Carmel, Indiana is a rapidly growing suburban city north of Indianapolis known for its affluent communities, extensive roundabout system, and vibrant arts and business districts.
  • C. Carmel, New York
    Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
  • D. Thornton Heights
    Thornton Heights is a residential neighborhood within the city of South Portland, Maine.
  • E. Canton
    Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.