Triple
T5381054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapooka Army Recruit Training Centre |
E113081
|
entity |
| Predicate | garrisonTown |
P10998
|
FINISHED |
| Object |
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
|
E515435
|
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: Kapooka | Statement: [Kapooka Army Recruit Training Centre, garrisonTown, Kapooka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapooka Context triple: [Kapooka Army Recruit Training Centre, garrisonTown, Kapooka]
-
A.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
B.
Kawki
Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
-
C.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
D.
Kapuskasing
Kapuskasing is a small town in northern Ontario, Canada, known historically for its pulp and paper industry and its location along the Kapuskasing River.
-
E.
Nekodake
Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
- 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: Kapooka Triple: [Kapooka Army Recruit Training Centre, garrisonTown, Kapooka]
Generated description
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapooka Target entity description: Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
A.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
B.
Kawki
Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
-
C.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
D.
Kapuskasing
Kapuskasing is a small town in northern Ontario, Canada, known historically for its pulp and paper industry and its location along the Kapuskasing River.
-
E.
Nekodake
Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cfe7fc8190bb73c60cae7c927d |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2949cd9881908ca0d8fdf1642f71 |
completed | March 21, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69bf2a46c4808190bd706cbb76bbfbc2 |
completed | March 21, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2ab19a50819098ef5a611daa8cd6 |
completed | March 21, 2026, 11:33 p.m. |
Created at: March 20, 2026, 2:03 p.m.