Triple

T1105365
Position Surface form Disambiguated ID Type / Status
Subject Meg Griffin E25476 entity
Predicate residence P75 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: [Meg Griffin, residence, Quahog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quahog
Context triple: [Meg Griffin, residence, 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. 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.
  • 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 medieval historic center of Kraków, renowned for its well-preserved architecture, bustling Main Market Square, and rich cultural heritage.
  • E. Old Town
    Old Town is the historic city center of Riga, Latvia, known for its medieval architecture, cobblestone streets, and UNESCO-listed 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a221888190a3ffdb713e7cd143 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.