Triple

T15418744
Position Surface form Disambiguated ID Type / Status
Subject Compton, California E369316 entity
Predicate hasLandmark P105 FINISHED
Object Compton City Hall E326389 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: Compton City Hall | Statement: [Compton, California, hasLandmark, Compton City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compton City Hall
Context triple: [Compton, California, hasLandmark, Compton City Hall]
  • A. Compton City Hall chosen
    Compton City Hall is the primary municipal government building and administrative center serving the city of Compton, California.
  • B. Newton City Hall
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • C. Bruce C. Bolling Municipal Building
    The Bruce C. Bolling Municipal Building is a prominent civic complex in Boston that houses city offices and serves as a centerpiece of the neighborhood’s revitalization.
  • D. Alabaster City Hall
    Alabaster City Hall is the primary municipal government building and administrative center for the city of Alabaster, Alabama.
  • E. New City Hall
    New City Hall is a prominent modernist municipal building and one of the most recognizable landmarks in the Czech city of Ostrava.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.