Triple

T1941885
Position Surface form Disambiguated ID Type / Status
Subject Metro J Line E41572 entity
Predicate cityServed P82 FINISHED
Object El Monte E177336 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: El Monte | Statement: [Metro J Line, cityServed, El Monte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Monte
Context triple: [Metro J Line, cityServed, El Monte]
  • A. El Monte chosen
    El Monte is a suburban city in Southern California’s San Gabriel Valley, known historically as a gateway for settlers and now as a diverse residential and commercial community.
  • B. El Monte
    El Monte is a commune and town in central Chile known for its agricultural activities and location within the Greater Santiago area.
  • C. San Bernardino
    San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
  • D. El Cajon
    El Cajon is a suburban city in Southern California’s East County region, located just east of San Diego.
  • E. Murrieta
    Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fc98e881909a539c0ebf842d8b completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fd173b881909fbd454fc9d7fabb completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:36 p.m.