Triple
T2858930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limestone Coast |
E63270
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Penola |
E297633
|
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: Penola | Statement: [Limestone Coast, contains, Penola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penola Context triple: [Limestone Coast, contains, Penola]
-
A.
Penola
chosen
Penola is a small historic town in South Australia's Limestone Coast region, known as the gateway to the renowned Coonawarra wine district.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Montoni
Montoni is the ruthless and manipulative Italian nobleman who serves as the primary antagonist in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
-
D.
Puening
Puening is the surname of Katherine "Kitty" Puening, best known as the wife of physicist J. Robert Oppenheimer.
-
E.
Pila
Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8aec3c8190a4168d8c916b5268 |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d91f6448190866f6ee0491041cf |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.