Triple

T11291673
Position Surface form Disambiguated ID Type / Status
Subject Bridge of the Americas E267339 entity
Predicate locatedIn P40 FINISHED
Object Chihuahua E14995 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: Chihuahua | Statement: [Bridge of the Americas, locatedIn, Chihuahua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chihuahua
Context triple: [Bridge of the Americas, locatedIn, Chihuahua]
  • A. Chihuahua chosen
    Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
  • B. Pomeranian
    A Pomeranian is a small, fluffy toy dog breed known for its fox-like face, lively personality, and thick double coat.
  • C. Pomeranians
    Pomeranians are a West Slavic ethnic group native to the historical region of Pomerania along the Baltic Sea, primarily in modern-day Poland and Germany.
  • D. Little Tew
    Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
  • E. Pug
    Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f49badc88190a3195e919900f0c3 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.