Triple
T17288177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitianga |
E419711
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Whitianga Wharf
Whitianga Wharf is a coastal pier and ferry terminal in Whitianga, New Zealand, serving as a key hub for local marine transport and recreational boating.
|
E1260113
|
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: Whitianga Wharf | Statement: [Whitianga, hasTransport, Whitianga Wharf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitianga Wharf Context triple: [Whitianga, hasTransport, Whitianga Wharf]
-
A.
Onehunga Wharf
Onehunga Wharf is a historic coastal wharf and port facility in the Auckland suburb of Onehunga, New Zealand.
-
B.
Auki wharf
Auki wharf is the main maritime dock and transport hub serving the town of Auki in the Solomon Islands.
-
C.
Tathra Wharf
Tathra Wharf is a historic coastal pier in Tathra, New South Wales, known for its preserved 19th-century architecture and scenic ocean views.
-
D.
Wynyard Wharf
Wynyard Wharf is a major waterfront wharf in Auckland, New Zealand, forming part of the city’s central port and Wynyard Quarter redevelopment area.
-
E.
Naha Wharf
Naha Wharf is a waterfront port area in Naha, Okinawa, known for hosting local festivals, maritime events, and serving as a hub for passenger and cargo traffic.
- 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: Whitianga Wharf Triple: [Whitianga, hasTransport, Whitianga Wharf]
Generated description
Whitianga Wharf is a coastal pier and ferry terminal in Whitianga, New Zealand, serving as a key hub for local marine transport and recreational boating.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitianga Wharf Target entity description: Whitianga Wharf is a coastal pier and ferry terminal in Whitianga, New Zealand, serving as a key hub for local marine transport and recreational boating.
-
A.
Onehunga Wharf
Onehunga Wharf is a historic coastal wharf and port facility in the Auckland suburb of Onehunga, New Zealand.
-
B.
Auki wharf
Auki wharf is the main maritime dock and transport hub serving the town of Auki in the Solomon Islands.
-
C.
Tathra Wharf
Tathra Wharf is a historic coastal pier in Tathra, New South Wales, known for its preserved 19th-century architecture and scenic ocean views.
-
D.
Wynyard Wharf
Wynyard Wharf is a major waterfront wharf in Auckland, New Zealand, forming part of the city’s central port and Wynyard Quarter redevelopment area.
-
E.
Naha Wharf
Naha Wharf is a waterfront port area in Naha, Okinawa, known for hosting local festivals, maritime events, and serving as a hub for passenger and cargo traffic.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43781b7808190a0528ee9c54a0c66 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017957c738819087341bcd51b55114 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a0179f16af481909f409adb5367f021 |
completed | May 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017ad8480881909ca9a9982585b08d |
completed | May 11, 2026, 6:44 a.m. |
Created at: April 10, 2026, 5:40 a.m.