Triple

T600112
Position Surface form Disambiguated ID Type / Status
Subject Lenape E11473 entity
Predicate ethnonymLanguage P4709 FINISHED
Object Unami
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.
E75801 NE FINISHED

How this triple was built (4 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: [Lenape, ethnonymLanguage, Unami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unami
Context triple: [Lenape, ethnonymLanguage, Unami]
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Kitchawan
    Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
  • C. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • D. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • E. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unami
Triple: [Lenape, ethnonymLanguage, Unami]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unami
Target entity description: 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.
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Kitchawan
    Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
  • C. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • D. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • E. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • F. None of above. chosen

Provenance (5 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d78c0f08190b83ad89062ccb0b9 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5238759c88190b1a960291c758447 completed March 2, 2026, 5:43 a.m.
NEDg Description generation batch_69a524233d34819092c15fdc9d6b6411 completed March 2, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a524a0b00c8190951d1e279226ef50 completed March 2, 2026, 5:48 a.m.
Created at: March 1, 2026, 7:35 p.m.