Triple
T5173928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanbadoc |
E116749
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Usk |
E20796
|
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: Usk | Statement: [Llanbadoc, hasNearbyTown, Usk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usk Context triple: [Llanbadoc, hasNearbyTown, Usk]
-
A.
Usk
chosen
Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
-
B.
Usakos
Usakos is a small town in central Namibia known as a railway junction and gateway to the Erongo Mountains.
-
C.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
D.
Avusy
Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
-
E.
Usquert
Usquert is a village in the Dutch province of Groningen, known for its historic church and characteristic northern Netherlands landscape.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd796f7c308190a721e33aabd499ac |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06ac60448190a2e97a4df03863ea |
completed | March 21, 2026, 8:59 p.m. |
Created at: March 20, 2026, 1:45 p.m.