Triple

T3839834
Position Surface form Disambiguated ID Type / Status
Subject River Test E93423 entity
Predicate passesNear P416 FINISHED
Object Andover E182020 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: Andover | Statement: [River Test, passesNear, Andover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover
Context triple: [River Test, passesNear, Andover]
  • A. Andover chosen
    Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
  • B. Andover
    Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
  • C. Andover
    Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • D. Andover, Maine
    Andover, Maine is a small rural town in Oxford County known for its scenic western Maine mountains, outdoor recreation, and historic New England character.
  • E. North Andover
    North Andover is a suburban town in northeastern Massachusetts known for its residential character, historic sites, and proximity to the city of Lawrence.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86117b56881909168f39747504797 completed March 28, 2026, 11:15 p.m.
Created at: March 9, 2026, 3:18 p.m.