Triple
T15890126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamaliʻi Elementary School |
E385294
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Kīhei
Kīhei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and residential communities.
|
E1185567
|
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: Kīhei | Statement: [Kamaliʻi Elementary School, locatedIn, Kīhei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kīhei Context triple: [Kamaliʻi Elementary School, locatedIn, Kīhei]
-
A.
Kaʻala
Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
-
B.
Okehi
Okehi is a town in Rivers State, Nigeria, that serves as the administrative headquarters of the Ikwerre Local Government Area.
-
C.
Nanakuli
Nanakuli is a coastal community on the leeward side of Oahu in Hawaii, known for its beaches and strong Native Hawaiian presence.
-
D.
Hoakalei
Hoakalei is a master-planned resort and residential community on the leeward coast of Oahu, Hawaii, known for its golf course, lagoons, and waterfront lifestyle.
-
E.
Kamāmalu
Kamāmalu was a Hawaiian queen and high chiefess, best known as the wife of King Kamehameha II and for her tragic death from measles during a royal visit to England in 1824.
- 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: Kīhei Triple: [Kamaliʻi Elementary School, locatedIn, Kīhei]
Generated description
Kīhei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and residential communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kīhei Target entity description: Kīhei is a coastal town on the southwest shore of Maui, Hawaii, known for its sunny weather, beaches, and residential communities.
-
A.
Kaʻala
Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
-
B.
Okehi
Okehi is a town in Rivers State, Nigeria, that serves as the administrative headquarters of the Ikwerre Local Government Area.
-
C.
Nanakuli
Nanakuli is a coastal community on the leeward side of Oahu in Hawaii, known for its beaches and strong Native Hawaiian presence.
-
D.
Hoakalei
Hoakalei is a master-planned resort and residential community on the leeward coast of Oahu, Hawaii, known for its golf course, lagoons, and waterfront lifestyle.
-
E.
Kamāmalu
Kamāmalu was a Hawaiian queen and high chiefess, best known as the wife of King Kamehameha II and for her tragic death from measles during a royal visit to England in 1824.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561d5c28819094c3541d917a4433 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe6cd5a881908716f1dcf7d77004 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf50d5fc8190a045846f046e04cf |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfb1ed7c81908771dedce172707a |
completed | May 9, 2026, 11:13 p.m. |
Created at: April 10, 2026, 4:51 a.m.