Triple
T5128850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Isles |
E115645
|
entity |
| Predicate | hasEpisode |
P6968
|
FINISHED |
| Object | Freshwater |
E62091
|
NE FINISHED |
How this triple was built (2 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: Freshwater | Statement: [Wild Isles, hasEpisode, Freshwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freshwater Context triple: [Wild Isles, hasEpisode, Freshwater]
-
A.
Freshwater
chosen
Freshwater is a large village and popular tourist destination on the western side of the Isle of Wight in England, known for its coastal scenery and nearby chalk cliffs.
-
B.
Freshwater Lake
Freshwater Lake is a high-altitude crater lake in Dominica known for its cool climate, scenic views, and role as a key freshwater reservoir within Morne Trois Pitons National Park.
-
C.
Freshwater station
Freshwater station is a heritage railway station in Queensland, Australia, serving as a key stop and boarding point for passengers on the Kuranda Scenic Railway.
-
D.
Landwasser
Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
-
E.
Water
Water is a fundamental chemical substance (H₂O) essential for life, known for its roles in biological processes, climate regulation, and human civilization.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7825facc8190b2a6c17216290b5c |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c23d5c8190883a297254d9c80d |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.