Triple

T13642981
Position Surface form Disambiguated ID Type / Status
Subject CMCC E326031 entity
Predicate city P40 FINISHED
Object Auburn E94520 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: [CMCC, city, Auburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn
Context triple: [CMCC, city, Auburn]
  • A. Auburn chosen
    Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
  • B. Auburn
    Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
  • C. Auburn
    Auburn is a city in south-central Maine known for its historic architecture, role as a regional service and economic center, and its location along the Androscoggin River opposite Lewiston.
  • D. 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.
  • E. 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.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5ac2af88190976abe6606994eef completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af74a548190bc8bbe1a1410997a completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.