Triple

T3534634
Position Surface form Disambiguated ID Type / Status
Subject Delaware people E74741 entity
Predicate ethnonymLanguage P4709 FINISHED
Object Unami E75801 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: Unami | Statement: [Delaware people, ethnonymLanguage, Unami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unami
Context triple: [Delaware people, ethnonymLanguage, Unami]
  • A. Unami chosen
    Unami is a dialect of the Lenape (Delaware) language historically spoken by the Lenape people in parts of the mid-Atlantic region of North America.
  • B. Niiname-sai
    Niiname-sai is a traditional Shinto harvest festival in Japan during which the emperor offers newly harvested rice to the deities and partakes of it in a solemn thanksgiving rite.
  • C. Nori
    Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9cff5c81909011f34c9bf28e11 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcf7ffc81909242cf67f5aa7b3d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.