Triple
T10505403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington, Sydney |
E247772
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Eastlakes
Eastlakes is a residential suburb in Sydney, Australia, known for its multicultural community and proximity to the city and airport.
|
E867482
|
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: Eastlakes | Statement: [Kensington, Sydney, hasNeighbour, Eastlakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eastlakes Context triple: [Kensington, Sydney, hasNeighbour, Eastlakes]
-
A.
Springfield Lakes
Springfield Lakes is a master-planned residential suburb in the Greater Springfield area of South East Queensland, Australia, known for its lakes, parks, and family-oriented community.
-
B.
City of Lakes
City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
-
C.
City of Lakes
City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
-
D.
City of Lakes
City of Lakes is a popular nickname for Thane, a city in Maharashtra, India, known for its numerous lakes and scenic waterfronts.
-
E.
Southwood
Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
- 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: Eastlakes Triple: [Kensington, Sydney, hasNeighbour, Eastlakes]
Generated description
Eastlakes is a residential suburb in Sydney, Australia, known for its multicultural community and proximity to the city and airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eastlakes Target entity description: Eastlakes is a residential suburb in Sydney, Australia, known for its multicultural community and proximity to the city and airport.
-
A.
Springfield Lakes
Springfield Lakes is a master-planned residential suburb in the Greater Springfield area of South East Queensland, Australia, known for its lakes, parks, and family-oriented community.
-
B.
City of Lakes
City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
-
C.
City of Lakes
City of Lakes is a popular nickname for Thane, a city in Maharashtra, India, known for its numerous lakes and scenic waterfronts.
-
D.
City of Lakes
City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
-
E.
Southwood
Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509a07c908190bf0e3e5d480b306d |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcd89ba481908653730b43e3d4ab |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c9d5cc8190a425ed834855bbcd |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901fecee88190999e88ca2e56a516 |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:26 p.m.