Triple
T10330590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die |
E242861
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Diois |
E244402
|
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: Diois | Statement: [Die, hasDemonym, Diois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diois Context triple: [Die, hasDemonym, Diois]
-
A.
Diois
chosen
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
-
B.
Diö
Diö is a small locality in southern Sweden’s Kronoberg County, known for its rural character and proximity to forests and lakes.
-
C.
Erasinos
Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
-
D.
Oesilo
Oesilo is an administrative post in the Oecusse exclave of East Timor, known for its rural communities and border location with Indonesian West Timor.
-
E.
Gytheio
Gytheio is a historic coastal town and port in the southern Peloponnese of Greece, known as the former seaport of ancient Sparta and a gateway to the Laconian Gulf.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dbc7df48190b8a11a92f946fd30 |
completed | April 9, 2026, 3:32 a.m. |
Created at: April 6, 2026, 11:52 a.m.