Triple

T1754930
Position Surface form Disambiguated ID Type / Status
Subject Waimoku Falls E38528 entity
Predicate nearestTown P350 FINISHED
Object Hāna
Hāna is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal views, and the famously winding Road to Hāna.
 E214001 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: Hāna | Statement: [Waimoku Falls, nearestTown, Hāna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hāna
Context triple: [Waimoku Falls, nearestTown, Hāna]
  • A. Kihei
    Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
  • B. Līhuʻe
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • 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. Mililani
    Mililani is a master-planned residential community and census-designated place located in the central part of the island of Oahu in Hawaii.
  • E. Kahului
    Kahului is a major commercial and transportation hub on the island of Maui in Hawaii, known for its harbor, airport, and retail centers.
  • 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: Hāna
Triple: [Waimoku Falls, nearestTown, Hāna]
Generated description
Hāna is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal views, and the famously winding Road to Hāna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hāna
Target entity description: Hāna is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, scenic coastal views, and the famously winding Road to Hāna.
  • A. Kihei
    Kihei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and resort and residential communities.
  • B. Līhuʻe
    Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
  • 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. Mililani
    Mililani is a master-planned residential community and census-designated place located in the central part of the island of Oahu in Hawaii.
  • E. Kahului
    Kahului is a major commercial and transportation hub on the island of Maui in Hawaii, known for its harbor, airport, and retail centers.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641841748190ad05cac4a27cced9 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeacc64808190976d4a604d7762ea completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb503ec88190b8d0cb17bbb8f520 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adef13e030819086e9e8862198d859 completed March 8, 2026, 9:50 p.m.
Created at: March 4, 2026, 7:31 p.m.