Triple

T6082898
Position Surface form Disambiguated ID Type / Status
Subject Pālolo E135565 entity
Predicate hasProximityTo P2064 FINISHED
Object Wilhelmina Rise
Wilhelmina Rise is a steep residential neighborhood in Honolulu, Hawaii, known for its hillside homes and panoramic views over the city and ocean.
E566680 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: Wilhelmina Rise | Statement: [Pālolo, hasProximityTo, Wilhelmina Rise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmina Rise
Context triple: [Pālolo, hasProximityTo, Wilhelmina Rise]
  • A. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • B. Seiling
    Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
  • C. Wasquehal
    Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • D. Teetop
    Teetop is a settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • 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: Wilhelmina Rise
Triple: [Pālolo, hasProximityTo, Wilhelmina Rise]
Generated description
Wilhelmina Rise is a steep residential neighborhood in Honolulu, Hawaii, known for its hillside homes and panoramic views over the city and ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilhelmina Rise
Target entity description: Wilhelmina Rise is a steep residential neighborhood in Honolulu, Hawaii, known for its hillside homes and panoramic views over the city and ocean.
  • A. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • B. Seiling
    Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
  • C. Wasquehal
    Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • D. Teetop
    Teetop is a settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05786233c81909010a6c2f7e7dfda completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d57b5f481908d7df374837a486a completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11e89c75481908381df126a7b1661 completed March 23, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c11ef6971c8190b8dde5568b330b41 completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.