Triple
T14776110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston |
E347263
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Asten |
E578290
|
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: Asten | Statement: [Aston, hasVariantSpelling, Asten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asten Context triple: [Aston, hasVariantSpelling, Asten]
-
A.
Asten
chosen
Asten is a municipality in the Dutch province of North Brabant, known for its proximity to the De Groote Peel National Park and its rural, nature-rich surroundings.
-
B.
Asen
Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
-
C.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
D.
Astún
Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
-
E.
Apsaras
Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec815dd5081909e927911c06b2d66 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cff0474819092e8447f2f13cf59 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.