Triple

T12500982
Position Surface form Disambiguated ID Type / Status
Subject Chalfont & Latimer E298819 entity
Predicate stationCode P1289 FINISHED
Object CFO E704939 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: CFO | Statement: [Chalfont & Latimer, stationCode, CFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CFO
Context triple: [Chalfont & Latimer, stationCode, CFO]
  • A. CFO
    The CFO (Chief Financial Officer) is the senior executive responsible for managing a company's financial strategy, planning, reporting, and risk.
  • B. CFO chosen
    CFO is the National Rail station code assigned to Chalfont and Latimer railway station in Buckinghamshire, England.
  • C. center chief financial officer
    The center chief financial officer is the senior financial executive at a NASA center responsible for overseeing budgeting, financial planning, and fiscal policy compliance.
  • D. CIO
    The CIO is the French abbreviation for the International Olympic Committee, the global governing body responsible for overseeing the Olympic Movement and organizing the Olympic Games.
  • E. CIO
    The Central Intelligence Organization (CIO) was the main intelligence and security agency of South Vietnam during the Vietnam War era.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb38e048190bbc96244b71953b6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.