Triple
T2297187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bala |
E51644
|
entity |
| Predicate | hasWelshName |
P4705
|
FINISHED |
| Object | Y Bala |
E51644
|
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: Y Bala | Statement: [Bala, hasWelshName, Y Bala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Y Bala Context triple: [Bala, hasWelshName, Y Bala]
-
A.
Bala
chosen
Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
-
B.
Dame
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
-
C.
Balfe
Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
-
D.
Mabinay
Mabinay is a landlocked municipality in Negros Oriental, Philippines, known for its extensive cave systems and karst landscapes.
-
E.
Joyo
Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ddf00081909acb47cbd9a5f20e |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2ba4048190898e3524feb0d96d |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.