Triple

T6691856
Position Surface form Disambiguated ID Type / Status
Subject Eastside Portland E152645 entity
Predicate contains P35 FINISHED
Object Lloyd District E5646 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: Lloyd District | Statement: [Eastside Portland, contains, Lloyd District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd District
Context triple: [Eastside Portland, contains, Lloyd District]
  • A. Lloyd District chosen
    The Lloyd District is a major commercial and entertainment area in northeast Portland, Oregon, known for its shopping centers, office towers, and event venues.
  • B. Melton District
    Melton District is a local government district in the East Midlands of England, centered on the market town of Melton Mowbray and known for its rural character and food heritage.
  • C. Selwyn District
    Selwyn District is a largely rural local government area in New Zealand’s South Island, situated west of Christchurch within the Canterbury region.
  • D. Kashmore District
    Kashmore District is an administrative district in the Sindh province of Pakistan, known for its location near the Indus River and its role as a regional agricultural and trade center.
  • E. Korangi District
    Korangi District is an administrative district in the southeastern part of Karachi, Pakistan, known for its large industrial zones and densely populated residential areas.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b193a8c08190a99152a8eca018e6 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b70ef88190b605c3c70a941cdb completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.