Triple

T20315007
Position Surface form Disambiguated ID Type / Status
Subject Reading urban area E510355 entity
Predicate governingCountyTown P139624 FINISHED
Object Reading NE NERFINISHED

How this triple was built (3 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: Reading | Statement: [Reading urban area, governingCountyTown, Reading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reading
Context triple: [Reading urban area, governingCountyTown, Reading]
  • A. Reading chosen
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • B. Reading
    Reading is a historic city in southeastern Pennsylvania known for its industrial heritage, transportation links, and role as a regional cultural and economic center.
  • C. Reading
    "Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
  • D. Lectura
    Lectura is an earlier version of John Duns Scotus’s theological commentary on Peter Lombard’s Sentences, preceding and later revised into the more polished Ordinatio.
  • E. Read
    Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governingCountyTown
Context triple: [Reading urban area, governingCountyTown, Reading]
  • A. nearestCountySeat
    Indicates that one location is the closest county seat geographically to another location.
  • B. governingBoroughSeat
    Indicates that one entity serves as the administrative seat or central governing location for a particular borough.
  • C. boroughOf
    Indicates that one place is a borough that is administratively or geographically part of another, typically larger, municipal entity.
  • D. servesCountyTown
    Indicates that an entity (such as a service, office, or facility) provides coverage or service to a specified county or town.
  • E. containsCountySeat
    Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
  • F. None of above. chosen

Provenance (4 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
PDg Predicate description generation batch_69e56702ad04819099c1c08f28d16809 completed April 19, 2026, 11:36 p.m.
Created at: April 16, 2026, 11:19 a.m.