Triple

T1276854
Position Surface form Disambiguated ID Type / Status
Subject Joe Swanson E27233 entity
Predicate homeTown P5864 FINISHED
Object Quahog E54923 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: Quahog | Statement: [Joe Swanson, homeTown, Quahog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quahog
Context triple: [Joe Swanson, homeTown, Quahog]
  • A. Quahog, Rhode Island chosen
    Quahog, Rhode Island is the fictional New England town that serves as the primary setting for the animated television series Family Guy.
  • B. Houthaven
    Houthaven is a former industrial harbor area in Amsterdam that has been redeveloped into a modern residential and mixed-use waterfront neighborhood.
  • C. Old Town
    Old Town is the historic central district of Olkusz, characterized by its preserved medieval urban layout, traditional architecture, and cultural landmarks.
  • D. Old Town
    Old Town is the historic waterfront district of Alexandria, Virginia, known for its preserved 18th- and 19th-century architecture, cobblestone streets, and vibrant shops and restaurants.
  • E. Old Town
    Old Town is the medieval historic center of Kraków, renowned for its well-preserved architecture, bustling Main Market Square, and rich cultural heritage.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0907f6081908df15679227341b5 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2fd091081908f4a60d7ce300c90 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:50 p.m.