Triple
T17813930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamezia Terme |
E444786
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nicastro |
—
|
NE NERFINISHED |
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: Nicastro | Statement: [Lamezia Terme, hasPart, Nicastro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicastro Context triple: [Lamezia Terme, hasPart, Nicastro]
-
A.
Nicastro
chosen
Nicastro is a former town in the Calabria region of southern Italy that now forms part of the city of Lamezia Terme.
-
B.
Capestrano
Capestrano is a small historic town in Italy’s Abruzzo region, known for its medieval architecture and religious heritage.
-
C.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
D.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
-
E.
Tusa
"Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887d6828819085face29cb03671b |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.