Triple
T10860108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Almonte |
E256376
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Almonte |
E785509
|
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: Almonte | Statement: [Juan Almonte, familyName, Almonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almonte Context triple: [Juan Almonte, familyName, Almonte]
-
A.
Almonte
chosen
Almonte is a municipality in southern Spain known for its proximity to Doñana National Park and the famous El Rocío pilgrimage.
-
B.
D’Alton
D’Alton is a variant spelling of the surname Dalton, which is of English and Irish origin and borne by various notable historical and contemporary figures.
-
C.
Hutchesson
Hutchesson is a surname variant of Hutchison, typically of Scottish or English origin.
-
D.
Glen Huntly
Glen Huntly is a suburb in Melbourne, Australia, known for its residential character and access to public transport including tram services.
-
E.
Sholto
Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d0403c8190bc0b92197a25d3ee |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.