Triple
T14360568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Arthur Range |
E356086
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Vesta
Lake Vesta is a remote alpine lake situated within Tasmania’s rugged Western Arthur Range, known to bushwalkers for its dramatic mountain scenery and challenging access.
|
E1094547
|
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: Lake Vesta | Statement: [Western Arthur Range, hasLake, Lake Vesta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Vesta Context triple: [Western Arthur Range, hasLake, Lake Vesta]
-
A.
Ceres
Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
-
B.
Ceres
Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
-
C.
Ceres
Ceres is the Roman goddess of agriculture, grain crops, fertility, and motherly relationships.
-
D.
Thesan
Thesan is the Etruscan goddess of the dawn, associated with light, new beginnings, and often linked to childbirth and divination.
-
E.
Makemake
Makemake is a large, icy dwarf planet in the Kuiper Belt, known for its extremely cold surface and status as one of the most massive objects beyond Neptune.
- 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: Lake Vesta Triple: [Western Arthur Range, hasLake, Lake Vesta]
Generated description
Lake Vesta is a remote alpine lake situated within Tasmania’s rugged Western Arthur Range, known to bushwalkers for its dramatic mountain scenery and challenging access.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Vesta Target entity description: Lake Vesta is a remote alpine lake situated within Tasmania’s rugged Western Arthur Range, known to bushwalkers for its dramatic mountain scenery and challenging access.
-
A.
Ceres
Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
-
B.
Ceres
Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
-
C.
Ceres
Ceres is the Roman goddess of agriculture, grain crops, fertility, and motherly relationships.
-
D.
Thesan
Thesan is the Etruscan goddess of the dawn, associated with light, new beginnings, and often linked to childbirth and divination.
-
E.
Makemake
Makemake is a large, icy dwarf planet in the Kuiper Belt, known for its extremely cold surface and status as one of the most massive objects beyond Neptune.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f54bfb08190a27c0d12731acec2 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4aba788190bd5ab8cbc772dcf1 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cd74d188190996367ab885c5531 |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d5b489081908016e62d4db476ce |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.