Triple
T6692665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pen y Fan |
E152665
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Corn Du |
E147214
|
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: Corn Du | Statement: [Pen y Fan, connectedTo, Corn Du]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corn Du Context triple: [Pen y Fan, connectedTo, Corn Du]
-
A.
Corn Du
chosen
Corn Du is a prominent summit in the Brecon Beacons of South Wales, known for its distinctive flat top and popularity with hikers.
-
B.
Cornstalk
Cornstalk was an 18th-century Shawnee chief and skilled orator known for his leadership during conflicts with American colonists, including Lord Dunmore’s War.
-
C.
Zea
Zea is the former name of Kea, an island in the Cyclades archipelago of Greece known for its traditional villages and scenic landscapes.
-
D.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
-
E.
Cowpe
Cowpe is a small village in Lancashire, England, situated in the Rossendale Valley and known for its rural setting and former textile industry.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b193a8c08190a99152a8eca018e6 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b70ef88190b605c3c70a941cdb |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.