Triple

T12037162
Position Surface form Disambiguated ID Type / Status
Subject Sabines E286570 entity
Predicate majorSettlement P316 FINISHED
Object Cures E225365 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: Cures | Statement: [Sabines, majorSettlement, Cures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cures
Context triple: [Sabines, majorSettlement, Cures]
  • A. Cure
    The Cure is a river in central France that flows through the Burgundy region before joining the Yonne.
  • B. Cures Sabini chosen
    Cures Sabini was an ancient city of the Sabine people in central Italy, historically significant as a regional center and later a Roman municipium.
  • C. Where cures begin
    "Where cures begin" is the official motto of the Salk Institute for Biological Studies, encapsulating its mission to advance pioneering biomedical research that leads to new treatments and therapies.
  • D. REMEDIOS
    REMEDIOS is a Japanese composer and music producer best known for creating the emotional soundtrack to the anime series "Anohana: The Flower We Saw That Day."
  • E. The Death Cure (novel)
    The Death Cure is the third and final book in James Dashner’s dystopian Maze Runner series, following Thomas and his friends as they confront the truth behind WICKED and the deadly Flare virus.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.