Triple

T15816234
Position Surface form Disambiguated ID Type / Status
Subject Piilani Highway E383483 entity
Predicate namedAfter P63 FINISHED
Object Piilani
Piʻilani was a prominent ancient Hawaiian chief (aliʻi) of Maui known for unifying the island and overseeing major public works.
 E1178397 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: Piilani | Statement: [Piilani Highway, namedAfter, Piilani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piilani
Context triple: [Piilani Highway, namedAfter, Piilani]
  • A. Punilla
    Punilla is a province in Chile’s Ñuble Region, known for its predominantly rural character and agricultural activities.
  • B. Palaihnihan
    Palaihnihan is a small Native American language family of northern California, traditionally including the closely related Achumawi and Atsugewi languages.
  • C. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • D. Ylla
    Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
  • E. Pinnau
    The Pinnau is a river in northern Germany that flows through the district of Pinneberg in the state of Schleswig-Holstein before emptying into the Elbe.
  • 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: Piilani
Triple: [Piilani Highway, namedAfter, Piilani]
Generated description
Piʻilani was a prominent ancient Hawaiian chief (aliʻi) of Maui known for unifying the island and overseeing major public works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piilani
Target entity description: Piʻilani was a prominent ancient Hawaiian chief (aliʻi) of Maui known for unifying the island and overseeing major public works.
  • A. Punilla
    Punilla is a province in Chile’s Ñuble Region, known for its predominantly rural character and agricultural activities.
  • B. Palaihnihan
    Palaihnihan is a small Native American language family of northern California, traditionally including the closely related Achumawi and Atsugewi languages.
  • C. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • D. Ylla
    Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
  • E. Pinnau
    The Pinnau is a river in northern Germany that flows through the district of Pinneberg in the state of Schleswig-Holstein before emptying into the Elbe.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a306a48190840adc49df2c26c5 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9ad6b29081909ff2abb2c4d866a4 completed May 9, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b443280819088dbf18f7c57406b completed May 9, 2026, 8:38 p.m.
Created at: April 10, 2026, 4:49 a.m.