Triple

T4476343
Position Surface form Disambiguated ID Type / Status
Subject Point Sur E100017 entity
Predicate isSouthOf P9676 FINISHED
Object Carmel-by-the-Sea E155316 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-by-the-Sea | Statement: [Point Sur, isSouthOf, Carmel-by-the-Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel-by-the-Sea
Context triple: [Point Sur, isSouthOf, Carmel-by-the-Sea]
  • A. Carmel-by-the-Sea, California chosen
    Carmel-by-the-Sea, California is a small, picturesque coastal town on the Monterey Peninsula known for its charming village atmosphere, art galleries, and scenic beaches.
  • B. Carmel
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • C. Cayucos
    Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
  • D. Sausalito
    Sausalito is a picturesque waterfront city in Northern California known for its hillside homes, art galleries, and views of the San Francisco Bay.
  • E. Monterey
    Monterey is a small rural town in Berkshire County, western Massachusetts, known for its scenic landscapes, forests, and lakes.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d8600c8190a8b812889c50f144 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63776ae008190a7668cddf1a42df3 completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:35 p.m.