Triple
T20935761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gowbarrow Fell |
E515579
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Dockray |
—
|
NE NERFINISHED |
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: Dockray | Statement: [Gowbarrow Fell, near, Dockray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dockray Context triple: [Gowbarrow Fell, near, Dockray]
-
A.
Dockray
chosen
Dockray is a small hamlet in the Lake District of Cumbria, England, known for its rural setting and proximity to scenic fells and waterfalls.
-
B.
Medigoron
Medigoron is a prominent Goron blacksmith in The Legend of Zelda series, known for crafting powerful swords for the player.
-
C.
Basmane
Basmane is a historic central district and major transport hub in İzmir, Turkey, known for its railway station, markets, and proximity to the city’s cultural attractions.
-
D.
Lyquin
Lyquin is a hip-hop artist associated with Generation Now, the record label co-founded by DJ Drama.
-
E.
Tramelan
Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.