Triple
T17813931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamezia Terme |
E444786
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sambiase |
—
|
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: Sambiase | Statement: [Lamezia Terme, hasPart, Sambiase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambiase Context triple: [Lamezia Terme, hasPart, Sambiase]
-
A.
Sambiase
chosen
Sambiase is a former municipality in the Calabria region of southern Italy that now forms part of the city of Lamezia Terme.
-
B.
Sambaa
The Sambaa are a Bantu-speaking ethnic group primarily inhabiting the Usambara Mountains and surrounding areas of northeastern Tanzania.
-
C.
Sangalhos
Sangalhos is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its wine production and local sports traditions.
-
D.
Kambaata
Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
-
E.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
- 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.