Triple

T10378992
Position Surface form Disambiguated ID Type / Status
Subject State Route 120 E244582 entity
Predicate passesThrough P225 FINISHED
Object Manteca E113327 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: Manteca | Statement: [State Route 120, passesThrough, Manteca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manteca
Context triple: [State Route 120, passesThrough, Manteca]
  • A. Manteca chosen
    Manteca is a city in California’s Central Valley known for its agricultural roots, suburban growth, and role as a commuter hub between the Bay Area and inland communities.
  • B. Manteca
    "Manteca" is a groundbreaking 1947 Afro-Cuban jazz composition co-written by Dizzy Gillespie that became one of the first and most influential Latin jazz standards.
  • C. Manteigas
    Manteigas is a small mountain town in central Portugal, known for its scenic location in the Serra da Estrela range and its natural landscapes.
  • D. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • E. Canela
    Canela is a popular mountain resort town in southern Brazil known for its cool climate, European-influenced architecture, and nearby natural attractions such as waterfalls and canyons.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e98fead88190ace49f34b8a27c25 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7957e52108190a8d262b30a7d2780 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:03 p.m.