Triple
T10086366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Shore of Maui |
E215232
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Haiku
Haiku is a small, rural community on Maui’s lush North Shore known for its tropical landscapes, agriculture, and laid-back local lifestyle.
|
E840794
|
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: Haiku | Statement: [North Shore of Maui, hasTown, Haiku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haiku Context triple: [North Shore of Maui, hasTown, Haiku]
-
A.
Haiku
Haiku is an open-source, lightweight desktop operating system inspired by BeOS, designed for speed, simplicity, and consistency.
-
B.
tanka
The tanka was a medieval silver coin that served as a standard monetary unit across much of the Indian subcontinent under various Islamic and later dynasties.
-
C.
Temwaiku
Temwaiku is a village and district within South Tarawa in Kiribati, known as one of the populated islets forming the country's capital area.
-
D.
Haikasoru
Haikasoru is a publishing imprint of Viz Media that specializes in translating and releasing Japanese science fiction and fantasy novels in English.
-
E.
Kawi
Kawi is an ancient Brahmic script historically used in maritime Southeast Asia, particularly for Old Javanese and related languages.
- 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: Haiku Triple: [North Shore of Maui, hasTown, Haiku]
Generated description
Haiku is a small, rural community on Maui’s lush North Shore known for its tropical landscapes, agriculture, and laid-back local lifestyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haiku Target entity description: Haiku is a small, rural community on Maui’s lush North Shore known for its tropical landscapes, agriculture, and laid-back local lifestyle.
-
A.
Haiku
Haiku is an open-source, lightweight desktop operating system inspired by BeOS, designed for speed, simplicity, and consistency.
-
B.
tanka
The tanka was a medieval silver coin that served as a standard monetary unit across much of the Indian subcontinent under various Islamic and later dynasties.
-
C.
Temwaiku
Temwaiku is a village and district within South Tarawa in Kiribati, known as one of the populated islets forming the country's capital area.
-
D.
Haikasoru
Haikasoru is a publishing imprint of Viz Media that specializes in translating and releasing Japanese science fiction and fantasy novels in English.
-
E.
Kawi
Kawi is an ancient Brahmic script historically used in maritime Southeast Asia, particularly for Old Javanese and related languages.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04745b48190a77c422eb76b6660 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b68b4dbc8190b0ada78fb29feffd |
completed | April 5, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69d2b7901ea08190a48e984356bd3d71 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b8813f9c8190a85462efb7a0a517 |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:01 p.m.