Triple

T14760558
Position Surface form Disambiguated ID Type / Status
Subject Lake Avenue E346847 entity
Predicate hasCity P316 FINISHED
Object Pasadena E8127 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: Pasadena | Statement: [Lake Avenue, hasCity, Pasadena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasadena
Context triple: [Lake Avenue, hasCity, Pasadena]
  • A. Pasadena
    "Pasadena" is a historical novel by David Ebershoff that explores love, ambition, and social change in early 20th-century Southern California.
  • B. Pasadena chosen
    Pasadena is a city in Los Angeles County, California, known for its scientific and cultural institutions and as the longtime host of the annual Rose Parade and Rose Bowl Game.
  • C. Torrance
    Torrance is a coastal city in southwestern Los Angeles County, California, known for its suburban neighborhoods, automotive and aerospace industries, and one of the region’s largest concentrations of Japanese-American residents.
  • D. Torrance
    Torrance is a small village in East Dunbartonshire, Scotland, known for its rural character and proximity to the outskirts of Glasgow.
  • E. Maywood
    Maywood is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388aeb9c819099a987a819959479 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.