Triple

T15346974
Position Surface form Disambiguated ID Type / Status
Subject Lancaster, Pennsylvania E366946 entity
Predicate hasLandmark P105 FINISHED
Object Lancaster City Hall E519825 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: Lancaster City Hall | Statement: [Lancaster, Pennsylvania, hasLandmark, Lancaster City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster City Hall
Context triple: [Lancaster, Pennsylvania, hasLandmark, Lancaster City Hall]
  • A. Lancaster City Hall chosen
    Lancaster City Hall is the historic municipal government building serving as the administrative center of Lancaster, Pennsylvania.
  • B. Bristol City Hall
    Bristol City Hall is a prominent civic building in Bristol, England, serving as the main administrative and ceremonial center for the city's local government.
  • C. Bristol City Hall
    Bristol City Hall is the main municipal government building and administrative center for the city of Bristol, Connecticut.
  • D. Manchester Town Hall
    Manchester Town Hall is a Victorian-era neo-Gothic municipal building in Manchester, England, serving as the historic seat of the city's local government.
  • E. Plymouth City Hall
    Plymouth City Hall is the central municipal building that houses the primary administrative offices and public services for the City of Plymouth.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f931408190828d87567cecaceb completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.