Triple

T3446610
Position Surface form Disambiguated ID Type / Status
Subject Manning River basin E72692 entity
Predicate hasMouthNear P350 FINISHED
Object Harrington E112145 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: Harrington | Statement: [Manning River basin, hasMouthNear, Harrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrington
Context triple: [Manning River basin, hasMouthNear, Harrington]
  • A. Harrington chosen
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • B. Hannan
    Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • C. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • D. Harrison
    Harrison is a city in New Jersey’s Hudson County, known as a residential and industrial community within the New York metropolitan area.
  • E. Harrison
    Harrison is a common English surname borne by numerous notable figures across politics, the arts, and sciences.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba6efb188190b989fa4d6f28e16b completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e32ba08190bcd2f3cbe963c443 completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.