Triple
T22140538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canberra Central |
E547144
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Forrest
Forrest is an inner-south suburb of Canberra, Australia, known for its diplomatic missions, leafy streets, and proximity to Parliament House.
|
E1521027
|
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: Forrest | Statement: [Canberra Central, contains, Forrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forrest Context triple: [Canberra Central, contains, Forrest]
-
A.
Forrest
Forrest is a small unincorporated community located in Quay County in eastern New Mexico, United States.
-
B.
Forrest
Forrest is the commonly used short form of the name Forrest Church, an American Unitarian Universalist minister, theologian, and author.
-
C.
Forrest
Forrest is a masculine given name of English origin, traditionally associated with nature and woodland imagery.
-
D.
Forrest
Forrest is an Australian federal electoral division in Western Australia, known for encompassing rural and coastal communities in the state's southwest region.
-
E.
Forrest
Forrest is a small rural town in Victoria, Australia, known as a gateway to the Otway Ranges and a hub for outdoor activities like mountain biking and nature tourism.
- 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: Forrest Triple: [Canberra Central, contains, Forrest]
Generated description
Forrest is an inner-south suburb of Canberra, Australia, known for its diplomatic missions, leafy streets, and proximity to Parliament House.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forrest Target entity description: Forrest is an inner-south suburb of Canberra, Australia, known for its diplomatic missions, leafy streets, and proximity to Parliament House.
-
A.
Forrest
Forrest is a small rural town in Victoria, Australia, known as a gateway to the Otway Ranges and a hub for outdoor activities like mountain biking and nature tourism.
-
B.
Forrest
Forrest is an Australian federal electoral division in Western Australia, known for encompassing rural and coastal communities in the state's southwest region.
-
C.
Forrest
Forrest is a small unincorporated community located in Quay County in eastern New Mexico, United States.
-
D.
Forrest
Forrest is the commonly used short form of the name Forrest Church, an American Unitarian Universalist minister, theologian, and author.
-
E.
Forrest
Forrest is a masculine given name of English origin, traditionally associated with nature and woodland imagery.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bda1208190b851ae5c68b760e9 |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96fa6fc08190b2985b2b350c7336 |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97cc77b481909587d3fb58a2a39d |
completed | May 18, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a983409c4819092262706e79111fc |
completed | May 18, 2026, 4:40 a.m. |
Created at: April 16, 2026, 8:32 p.m.