Triple

T905460
Position Surface form Disambiguated ID Type / Status
Subject Province of Delaware E19537 entity
Predicate contains P35 FINISHED
Object Kent County E152932 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: Kent County | Statement: [Province of Delaware, contains, Kent County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent County
Context triple: [Province of Delaware, contains, Kent County]
  • A. Kent County
    Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
  • B. Delaware County
    Delaware County is a suburban county in southeastern Pennsylvania, adjacent to Philadelphia, known for its mix of residential communities, educational institutions, and regional transportation links.
  • C. Howard County
    Howard County is a suburban county in central Maryland known for its affluent communities, strong public school system, and the planned city of Columbia.
  • D. Cumberland County
    Cumberland County is a largely rural county in southern New Jersey known for its agriculture, wetlands, and Delaware Bay shoreline.
  • E. Kent County, Delaware chosen
    Kent County, Delaware is a centrally located county in the state of Delaware known for its capital city Dover, historic sites, and a mix of agricultural and suburban communities.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddfa1d48819081538d6505fa062c completed March 8, 2026, 2:24 a.m.
Created at: March 1, 2026, 7:39 p.m.