Triple

T625623
Position Surface form Disambiguated ID Type / Status
Subject Maui E15811 entity
Predicate hasSettlement P1068 FINISHED
Object Paia
Paia is a small, laid-back town on Maui’s north shore known for its surf culture, bohemian vibe, and as a gateway to the Road to Hana.
 E81493 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: Paia | Statement: [Maui, hasSettlement, Paia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paia
Context triple: [Maui, hasSettlement, Paia]
  • A. Kahului
    Kahului is a major commercial and transportation hub on the island of Maui in Hawaii, known for its harbor, airport, and retail centers.
  • B. Hilo
    Hilo is a major town on the Big Island of Hawaii known for its lush rainforests, waterfalls, and role as a regional cultural and economic center.
  • C. Wailuku
    Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
  • D. Lahaina
    Lahaina is a historic coastal town on the Hawaiian island of Maui, formerly a whaling hub and royal capital, now known for its tourism and cultural significance.
  • E. Kihei
    Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
  • 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: Paia
Triple: [Maui, hasSettlement, Paia]
Generated description
Paia is a small, laid-back town on Maui’s north shore known for its surf culture, bohemian vibe, and as a gateway to the Road to Hana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paia
Target entity description: Paia is a small, laid-back town on Maui’s north shore known for its surf culture, bohemian vibe, and as a gateway to the Road to Hana.
  • A. Kahului
    Kahului is a major commercial and transportation hub on the island of Maui in Hawaii, known for its harbor, airport, and retail centers.
  • B. Hilo
    Hilo is a major town on the Big Island of Hawaii known for its lush rainforests, waterfalls, and role as a regional cultural and economic center.
  • C. Wailuku
    Wailuku is a historic town on the Hawaiian island of Maui that serves as the county seat and a cultural and administrative center.
  • D. Lahaina
    Lahaina is a historic coastal town on the Hawaiian island of Maui, formerly a whaling hub and royal capital, now known for its tourism and cultural significance.
  • E. Kihei
    Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e574444819087999404f3e3ffd9 completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6d19248190a5a57930153a208f completed March 2, 2026, 1:02 p.m.
NEDg Description generation batch_69a58e46d418819081d943dfdfb9b6e8 completed March 2, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69a58ee773308190ad1648bb834096a6 completed March 2, 2026, 1:21 p.m.
Created at: March 1, 2026, 7:35 p.m.