Triple
T14492930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner North Canberra |
E359410
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Campbell
Campbell is a residential suburb in Canberra, Australia, known for its proximity to the city centre, Lake Burley Griffin, and several national institutions.
|
E1102105
|
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: Campbell | Statement: [Inner North Canberra, contains, Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campbell Context triple: [Inner North Canberra, contains, Campbell]
-
A.
Campbell
Campbell is a small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
-
B.
Campbell
Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
-
C.
Mathison
Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
-
D.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
-
E.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
- 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: Campbell Triple: [Inner North Canberra, contains, Campbell]
Generated description
Campbell is a residential suburb in Canberra, Australia, known for its proximity to the city centre, Lake Burley Griffin, and several national institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campbell Target entity description: Campbell is a residential suburb in Canberra, Australia, known for its proximity to the city centre, Lake Burley Griffin, and several national institutions.
-
A.
Campbell
Campbell is a small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
-
B.
Campbell
Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
-
C.
Mathison
Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930f34d08190b4b30e54e2f702ed |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9544cc81908105554f212a9b8c |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6e75155081908cec8cac1101c17e |
completed | May 8, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f38ea788190a957419ca1971b15 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:20 a.m.