Triple
T3463972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rylstone |
E73090
|
entity |
| Predicate | electoralDivisionFederal |
P1566
|
FINISHED |
| Object |
Calare
Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
|
E359019
|
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: Calare | Statement: [Rylstone, electoralDivisionFederal, Calare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calare Context triple: [Rylstone, electoralDivisionFederal, Calare]
-
A.
Kalaloch
Kalaloch is a coastal area on Washington State’s Olympic Peninsula known for its rugged beaches, scenic ocean views, and proximity to Olympic National Park.
-
B.
Lacedelli
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
-
C.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
D.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
E.
Aneto
Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
- 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: Calare Triple: [Rylstone, electoralDivisionFederal, Calare]
Generated description
Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calare Target entity description: Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
-
A.
Kalaloch
Kalaloch is a coastal area on Washington State’s Olympic Peninsula known for its rugged beaches, scenic ocean views, and proximity to Olympic National Park.
-
B.
Lacedelli
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
-
C.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
D.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
E.
Aneto
Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0b73f481908c9f8d2b9b9bbbaf |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3612720308190b5a0d943a754883f |
completed | March 13, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69b361c3f7508190aacfc24528546614 |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36249b50881909ebae2d35b30cc1c |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:17 p.m.