Triple
T6041354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Wakatipu |
E134551
|
entity |
| Predicate | hasMaoriName |
P1435
|
FINISHED |
| Object |
Wakatipu
Wakatipu is the Māori name for Lake Wakatipu, a large S-shaped glacial lake in New Zealand’s South Island renowned for its dramatic alpine scenery.
|
E565157
|
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: Wakatipu | Statement: [Lake Wakatipu, hasMaoriName, Wakatipu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakatipu Context triple: [Lake Wakatipu, hasMaoriName, Wakatipu]
-
A.
Doi Pui
Doi Pui is a prominent mountain in northern Thailand known for its scenic views, Hmong hill-tribe village, and proximity to Chiang Mai.
-
B.
Quilotoa
Quilotoa is a water-filled volcanic crater lake in the Ecuadorian Andes, renowned for its striking turquoise color and dramatic caldera scenery.
-
C.
Tepehua
Tepehua is an indigenous Mesoamerican language (or group of closely related languages) spoken by the Tepehua people primarily in the central-eastern region of Mexico.
-
D.
Marakei
Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
-
E.
Paso Puyehue
Paso Puyehue is a mountain pass and international border crossing in the Andes that connects southern Chile and Argentina.
- 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: Wakatipu Triple: [Lake Wakatipu, hasMaoriName, Wakatipu]
Generated description
Wakatipu is the Māori name for Lake Wakatipu, a large S-shaped glacial lake in New Zealand’s South Island renowned for its dramatic alpine scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wakatipu Target entity description: Wakatipu is the Māori name for Lake Wakatipu, a large S-shaped glacial lake in New Zealand’s South Island renowned for its dramatic alpine scenery.
-
A.
Doi Pui
Doi Pui is a prominent mountain in northern Thailand known for its scenic views, Hmong hill-tribe village, and proximity to Chiang Mai.
-
B.
Quilotoa
Quilotoa is a water-filled volcanic crater lake in the Ecuadorian Andes, renowned for its striking turquoise color and dramatic caldera scenery.
-
C.
Tepehua
Tepehua is an indigenous Mesoamerican language (or group of closely related languages) spoken by the Tepehua people primarily in the central-eastern region of Mexico.
-
D.
Marakei
Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
-
E.
Paso Puyehue
Paso Puyehue is a mountain pass and international border crossing in the Andes that connects southern Chile and Argentina.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056d11370819096ac35349bd91f4e |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139793708190b14c83d4197a33a0 |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c116054e9881908de17b355558f149 |
completed | March 23, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1167938008190bf43698bf4b69062 |
completed | March 23, 2026, 10:31 a.m. |
Created at: March 22, 2026, 4:08 p.m.