Triple
T7794101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kowen Forest |
E180253
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Kowen
Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
|
E693967
|
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: Kowen | Statement: [Kowen Forest, hasRegion, Kowen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kowen Context triple: [Kowen Forest, hasRegion, Kowen]
-
A.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
B.
Kove
Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
-
C.
Wakool
Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
-
D.
Koval
Koval is a surname of Slavic origin, commonly associated with occupations like blacksmithing and related to similar names such as Kovács.
-
E.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
- 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: Kowen Triple: [Kowen Forest, hasRegion, Kowen]
Generated description
Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kowen Target entity description: Kowen is a locality within the Kowen Forest area near Canberra in the Australian Capital Territory, known for its pine plantations and outdoor recreation activities.
-
A.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
B.
Kove
Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
-
C.
Wakool
Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
-
D.
Koval
Koval is a surname of Slavic origin, commonly associated with occupations like blacksmithing and related to similar names such as Kovács.
-
E.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae939c7388190b36d3e746be27a4d |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13dbe1f88190bde2c5c76dcfeb8f |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1730900c8190bc0322c4b6a3772f |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a3e6da08190bf4f82b59db41333 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:31 p.m.