Triple
T20166590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monash Freeway |
E491838
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Clayton
Clayton is a suburb in Melbourne, Victoria, Australia, known for its residential areas, industrial precincts, and proximity to Monash University.
|
E1099691
|
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: Clayton | Statement: [Monash Freeway, passesThrough, Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clayton Context triple: [Monash Freeway, passesThrough, Clayton]
-
A.
Clayton
Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
-
B.
Clayton
Clayton is a small village located within the town of New Marlborough in Berkshire County, Massachusetts.
-
C.
Clayton
Clayton is a small town in southeastern Alabama that serves as the county seat of Barbour County.
-
D.
Clayton
Clayton is a small village in West Sussex, England, known for its rural setting beneath the South Downs and historic landmarks such as the Clayton Windmills.
-
E.
Clayton
Clayton is a masculine given name of Old English origin that has been borne by various notable real and fictional figures.
- 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: Clayton Triple: [Monash Freeway, passesThrough, Clayton]
Generated description
Clayton is a suburb in Melbourne, Victoria, Australia, known for its residential areas, industrial precincts, and proximity to Monash University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clayton Target entity description: Clayton is a suburb in Melbourne, Victoria, Australia, known for its residential areas, industrial precincts, and proximity to Monash University.
-
A.
Clayton
chosen
Clayton is a major suburb in Melbourne, Australia, known for its diverse community, Monash University campus, and significant research and industrial precincts.
-
B.
Clayton
Clayton is a district in east Manchester, England, known for its residential character and proximity to the city’s industrial and sporting landmarks.
-
C.
Clayton
Clayton is a small borough in Gloucester County, New Jersey, known primarily as a residential community within the Philadelphia metropolitan area.
-
D.
Clayton
Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
-
E.
Clayton
Clayton is a small village in West Sussex, England, known for its rural setting beneath the South Downs and historic landmarks such as the Clayton Windmills.
- F. None of above.
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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08347f265c8190af58b1d960fb34fd |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a0835b123dc8190a666dbeda18b9bc9 |
completed | May 16, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083677d1148190add2826f6e8a0b14 |
completed | May 16, 2026, 9:18 a.m. |
Created at: April 11, 2026, 11:35 p.m.