Triple

T1633084
Position Surface form Disambiguated ID Type / Status
Subject North Portland E35299 entity
Predicate containsNeighborhood P4813 FINISHED
Object Kenton E106707 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: Kenton | Statement: [North Portland, containsNeighborhood, Kenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenton
Context triple: [North Portland, containsNeighborhood, Kenton]
  • A. Kenton chosen
    Kenton is a suburban district in northwest London known for its residential character and local shopping streets.
  • B. Mayfield
    Mayfield is a village and civil parish in East Sussex, England, known for its historic High Street and traditional English countryside setting.
  • C. Kent, Ohio
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • D. Cully
    Cully is a diverse, largely residential neighborhood in Northeast Portland, Oregon, known for its mix of urban and semi-rural character and strong community activism.
  • E. Marietta, Ohio
    Marietta, Ohio is a historic city in southeastern Ohio known as the first permanent settlement of the Northwest Territory, located along the Ohio and Muskingum Rivers.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f86abc8190b0b81310dcd7feed completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d9db5c819081408977834ad606 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.