Triple

T8865448
Position Surface form Disambiguated ID Type / Status
Subject Streamline Records E211006 entity
Predicate associatedAct P37 FINISHED
Object Auburn unclear NED1 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: Auburn | Statement: [Streamline Records, associatedAct, Auburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn
Context triple: [Streamline Records, associatedAct, Auburn]
  • A. Auburn
    Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
  • B. Auburn
    Auburn is a small city in northeastern Indiana known for its automotive heritage and classic car museums.
  • C. Auburn
    Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
  • D. Auburn
    Auburn is a small historic town in South Australia's Clare Valley, known as a gateway to the wine region and a base for visitors exploring local vineyards and heritage sites.
  • E. Auburn
    Auburn is a small city in southeastern Nebraska that serves as the county seat of Nemaha County and a local hub for the surrounding rural region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0d311148190823cc047e2908bc0 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.