Triple
T11046385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Bay Islands |
E261147
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Haast
Haast is a small, remote township on the wild West Coast of New Zealand’s South Island, known as a gateway to rugged beaches, rainforests, and the Haast World Heritage Area.
|
E901651
|
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: Haast | Statement: [Open Bay Islands, locatedNear, Haast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haast Context triple: [Open Bay Islands, locatedNear, Haast]
-
A.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
-
B.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
C.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
-
D.
Hauran
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
-
E.
Haravgi
Haravgi is a Cypriot newspaper that serves as the main press organ of the left-wing Progressive Party of Working People (AKEL).
- 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: Haast Triple: [Open Bay Islands, locatedNear, Haast]
Generated description
Haast is a small, remote township on the wild West Coast of New Zealand’s South Island, known as a gateway to rugged beaches, rainforests, and the Haast World Heritage Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haast Target entity description: Haast is a small, remote township on the wild West Coast of New Zealand’s South Island, known as a gateway to rugged beaches, rainforests, and the Haast World Heritage Area.
-
A.
Hakstol
Hakstol is a surname most notably associated with Dave Hakstol, a Canadian professional ice hockey coach.
-
B.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
C.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
-
D.
Hauran
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
-
E.
Haravgi
Haravgi is a Cypriot newspaper that serves as the main press organ of the left-wing Progressive Party of Working People (AKEL).
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798307da481908996557a73c9b49a |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9fad8248190810e097d148655f5 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3b1dfea348190a61eb19266801ad0 |
completed | April 18, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b2c65fa081908038cc2f71e49073 |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 8, 2026, 9:26 p.m.