Triple

T269429
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Newton E5596 entity
Predicate seat P75 FINISHED
Object Newton City Hall E1042 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: Newton City Hall | Statement: [Mayor of Newton, seat, Newton City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton City Hall
Context triple: [Mayor of Newton, seat, Newton City Hall]
  • A. Newton City Hall chosen
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • B. Quincy City Hall
    Quincy City Hall is the historic municipal government building of Quincy, Massachusetts, serving as the center of the city's administrative and civic activities.
  • C. Old City Hall
    Old City Hall is a historic courthouse and former city government building in Philadelphia that stands adjacent to Independence Hall within Independence National Historical Park.
  • D. Portland City Hall
    Portland City Hall is the historic municipal building in downtown Portland, Oregon, that houses the offices and chambers of the city’s government.
  • E. Adams Building
    The Adams Building is one of the main Library of Congress buildings in Washington, D.C., housing extensive research collections and reading rooms.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db00ed48190be6f598807265356 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3bc1ff0f08190b5d6e0c46ff81145 completed March 1, 2026, 4:10 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.