Triple
T16547730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sketty |
E401986
|
entity |
| Predicate | hasRoad |
P959
|
FINISHED |
| Object | A483 |
E948150
|
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: A483 | Statement: [Sketty, hasRoad, A483]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A483 Context triple: [Sketty, hasRoad, A483]
-
A.
A483
chosen
The A483 is a major road in Wales that connects several towns and regions, including providing a key route to and from Llandrindod Wells.
-
B.
A48
The A48 is a major road in South Wales that serves as a key route linking Cardiff with other towns and cities in the region.
-
C.
A43
A43 is a major road designation used for important regional and intercity routes in several European countries.
-
D.
A4048
The A4048 is a primary road in Wales that connects several towns in the Sirhowy Valley, including Tredegar, to the wider regional road network.
-
E.
A46
The A46 is a major German autobahn in North Rhine-Westphalia that connects several cities in the Ruhr region and Sauerland, facilitating regional east–west traffic.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbf79048190b761008441762374 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b4f6448190812632ab9023b665 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.