Triple
T5129952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sawtell |
E115671
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object |
Bonville
Bonville is a small rural locality in New South Wales, Australia, known for its scenic countryside and proximity to the coastal city of Coffs Harbour.
|
E496092
|
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: Bonville | Statement: [Sawtell, nearbyLocality, Bonville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonville Context triple: [Sawtell, nearbyLocality, Bonville]
-
A.
Angeville
Angeville is a small commune in the Tarn-et-Garonne department in southern France.
-
B.
Coutances
Coutances is a historic town in northwestern France known for its Gothic cathedral and role as an administrative and cultural center in the Manche department of Normandy.
-
C.
Estcourt
Estcourt is a town in the KwaZulu-Natal province of South Africa, historically significant as a colonial settlement and regional agricultural and transport hub.
-
D.
Ballainvilliers
Ballainvilliers is a commune in the southern suburbs of Paris, located in the Essonne department in northern France.
-
E.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
- 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: Bonville Triple: [Sawtell, nearbyLocality, Bonville]
Generated description
Bonville is a small rural locality in New South Wales, Australia, known for its scenic countryside and proximity to the coastal city of Coffs Harbour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonville Target entity description: Bonville is a small rural locality in New South Wales, Australia, known for its scenic countryside and proximity to the coastal city of Coffs Harbour.
-
A.
Angeville
Angeville is a small commune in the Tarn-et-Garonne department in southern France.
-
B.
Coutances
Coutances is a historic town in northwestern France known for its Gothic cathedral and role as an administrative and cultural center in the Manche department of Normandy.
-
C.
Estcourt
Estcourt is a town in the KwaZulu-Natal province of South Africa, historically significant as a colonial settlement and regional agricultural and transport hub.
-
D.
Ballainvilliers
Ballainvilliers is a commune in the southern suburbs of Paris, located in the Essonne department in northern France.
-
E.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7827c764819086da3b79f2020224 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c23d5c8190883a297254d9c80d |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec6620aac8190a820190e7facd70a |
completed | March 21, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec70062f48190baae277e6f8c5c4e |
completed | March 21, 2026, 4:27 p.m. |
Created at: March 20, 2026, 1:42 p.m.