Triple

T10357115
Position Surface form Disambiguated ID Type / Status
Subject Down There on a Visit E244024 entity
Predicate originalPublisher P1760 FINISHED
Object Methuen E475740 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: Methuen | Statement: [Down There on a Visit, originalPublisher, Methuen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Methuen
Context triple: [Down There on a Visit, originalPublisher, Methuen]
  • A. Methuen chosen
    Methuen is a British publishing house known for producing academic, educational, and literary works.
  • B. Methuen, Massachusetts
    Methuen, Massachusetts is a small city in northeastern Massachusetts known for its historic mill buildings and suburban residential character within the Merrimack Valley region.
  • C. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • D. Medford
    Medford is a city in southern Oregon that serves as a regional commercial and transportation hub in the Rogue Valley.
  • E. Medford
    Medford is a hamlet and residential community located within the Town of Brookhaven in Suffolk County on Long Island, New York.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9563ea48190b8702b3ef497ed9a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b02ae48190898f9f97ab19ce60 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.