Triple
T13173594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverwater |
E313040
|
entity |
| Predicate | adjacentSuburb |
P37779
|
FINISHED |
| Object |
Auburn
Auburn is a diverse residential and commercial suburb in Western Sydney, New South Wales, known for its multicultural community and busy shopping precincts.
|
E1025120
|
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: Auburn | Statement: [Silverwater, adjacentSuburb, Auburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auburn Context triple: [Silverwater, adjacentSuburb, Auburn]
-
A.
Auburn
Auburn is a residential neighborhood located within the city of Cranston, Rhode Island.
-
B.
Auburn
Auburn is a small city in northeastern Indiana known for its automotive heritage and classic car museums.
-
C.
Auburn
Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
-
D.
Auburn
Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
-
E.
Auburn
Auburn is a city in south-central Maine known for its historic architecture, role as a regional service and economic center, and its location along the Androscoggin River opposite Lewiston.
- 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: Auburn Triple: [Silverwater, adjacentSuburb, Auburn]
Generated description
Auburn is a diverse residential and commercial suburb in Western Sydney, New South Wales, known for its multicultural community and busy shopping precincts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auburn Target entity description: Auburn is a diverse residential and commercial suburb in Western Sydney, New South Wales, known for its multicultural community and busy shopping precincts.
-
A.
Auburn
Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
-
B.
Auburn
Auburn is a small historic town in South Australia's Clare Valley, known as a gateway to the wine region and a base for visitors exploring local vineyards and heritage sites.
-
C.
Auburn
Auburn is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
-
D.
Auburn
Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
-
E.
Auburn
Auburn is a residential neighborhood located within the city of Cranston, Rhode Island.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c303e3c819086cf0f0b6d9e61ca |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafe03c48190992df41f77fb043e |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6f02dcce88190bdb07e271a52729a |
completed | May 3, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f09ff1088190812008373c0553d5 |
completed | May 3, 2026, 6:52 a.m. |
Created at: April 9, 2026, 9:14 p.m.