Triple
T16389620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgannwg |
E398015
|
entity |
| Predicate | hasWelshName |
P4705
|
FINISHED |
| Object | Morgannwg |
E398015
|
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: Morgannwg | Statement: [Morgannwg, hasWelshName, Morgannwg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgannwg Context triple: [Morgannwg, hasWelshName, Morgannwg]
-
A.
Morgannwg
chosen
Morgannwg is the traditional Welsh name for the historic county of Glamorgan in south Wales, known for its rich medieval heritage and early industrial development.
-
B.
Dyfed
Dyfed is a historic county and former administrative region in southwest Wales, encompassing the areas of Pembrokeshire, Carmarthenshire, and Ceredigion.
-
C.
Gallesia
Gallesia is a small genus of flowering plants known for its strong garlic-like odor, native to tropical regions of the Americas.
-
D.
Y Lliwedd
Y Lliwedd is a prominent, rugged mountain in Snowdonia, Wales, known for its dramatic cliffs and classic rock-climbing routes overlooking Llyn Llydaw.
-
E.
Meirionnydd
Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326414f44819093ebc11f1b63444c |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357167b881909a5182537ef973ce |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.