Triple
T6981957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Route 56 |
E161867
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Kapaa
Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
|
E632534
|
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: Kapaa | Statement: [Hawaii Route 56, connects, Kapaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapaa Context triple: [Hawaii Route 56, connects, Kapaa]
-
A.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
B.
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
C.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
D.
Kaa
Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
-
E.
Kawki
Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
- 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: Kapaa Triple: [Hawaii Route 56, connects, Kapaa]
Generated description
Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapaa Target entity description: Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
-
A.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
B.
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
C.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
D.
Kaa
Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
-
E.
Kawki
Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761c0ecd88190a684392aa6daf267 |
completed | March 28, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69c76275a5f08190b71a59694ef4a1fd |
completed | March 28, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c762ee1a048190ada3e6fd850e468b |
completed | March 28, 2026, 5:11 a.m. |
Created at: March 27, 2026, 2:31 p.m.