Triple

T1743648
Position Surface form Disambiguated ID Type / Status
Subject Abingdon E38286 entity
Predicate hasModernRole P161 FINISHED
Object commuter town for Oxford LITERAL 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: commuter town for Oxford | Statement: [Abingdon, hasModernRole, commuter town for Oxford]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModernRole
Context triple: [Abingdon, hasModernRole, commuter town for Oxford]
  • A. hasRole chosen
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • B. hasModernInstitution
    Indicates that an entity possesses, hosts, or is associated with a contemporary institution or organization.
  • C. hasModernName
    Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
  • D. hasModernEditions
    Indicates that an original work or text has one or more updated or contemporary published editions.
  • E. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • F. None of above.

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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab630e7d008190a8c673665d9672bb completed March 6, 2026, 11:28 p.m.
PD Predicate disambiguation batch_69aa61c5a18481909bc49e0c54d64314 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.