Triple
T17190140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clevsin |
E417207
|
entity |
| Predicate | hasModernName |
P20950
|
FINISHED |
| Object | Chiusi |
—
|
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: Chiusi | Statement: [Clevsin, hasModernName, Chiusi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiusi Context triple: [Clevsin, hasModernName, Chiusi]
-
A.
Chiusi
chosen
Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
-
B.
Chiusa
Chiusa is a small historic town in South Tyrol, northern Italy, known for its picturesque medieval center and Alpine surroundings.
-
C.
Clausura
Clausura is the closing half of a split football season format commonly used in Latin American leagues, following the Apertura tournament.
-
D.
Shut In
Shut In is a 2016 psychological horror-thriller film starring Naomi Watts as a child psychologist isolated in a remote New England house during a deadly winter storm.
-
E.
The Close
The Close is the historic cathedral precinct in Salisbury, England, encompassing Salisbury Cathedral and its surrounding lawns, residences, and ecclesiastical buildings.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9983e881909217ec2abe652bde |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.