Triple

T10498216
Position Surface form Disambiguated ID Type / Status
Subject Eaton Ford E247596 entity
Predicate adjacentTo P224 FINISHED
Object Eaton Socon E247597 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: Eaton Socon | Statement: [Eaton Ford, adjacentTo, Eaton Socon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eaton Socon
Context triple: [Eaton Ford, adjacentTo, Eaton Socon]
  • A. Eaton Socon chosen
    Eaton Socon is a suburban area and former village now effectively part of the town of St Neots in Cambridgeshire, England.
  • B. Eaton’s
    Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
  • C. Nortone
    Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
  • D. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • E. Brentson
    Brentson is a masculine given name most notably borne by former NFL defensive tackle and coach Brentson Buckner.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098d8ac481909c4adedbc4ad1c03 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90ddbbb3c8190873e8e3c27039b16 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:25 p.m.