Triple
T12890906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Snowdon |
E308360
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Snowdon (mountain in Wales) |
E61320
|
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: Snowdon (mountain in Wales) | Statement: [Earl of Snowdon, namedAfter, Snowdon (mountain in Wales)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowdon (mountain in Wales) Context triple: [Earl of Snowdon, namedAfter, Snowdon (mountain in Wales)]
-
A.
Snowdon
Snowdon is a major Montreal Metro station in the Côte-des-Neiges–Notre-Dame-de-Grâce borough that serves as an important transfer point between multiple subway lines.
-
B.
Snowdon
chosen
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
C.
Snowdon Massif
Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
-
D.
Eryri
Eryri is the Welsh name for Snowdonia, a mountainous national park in northwest Wales known for its rugged peaks, lakes, and scenic landscapes.
-
E.
Caerphilly Mountain
Caerphilly Mountain is a prominent hill in South Wales known for its scenic views, walking trails, and proximity to the town of Caerphilly.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97146d2208190be5ae26e51193b67 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8cec96c819089d253162bc4705a |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:39 p.m.