Triple
T3608168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paglia |
E76421
|
entity |
| Predicate | nameInItalian |
P17612
|
FINISHED |
| Object | Paglia |
E76421
|
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: Paglia | Statement: [Paglia, nameInItalian, Paglia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paglia Context triple: [Paglia, nameInItalian, Paglia]
-
A.
Paglia
chosen
The Paglia is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
-
B.
Spalatum
Spalatum is the ancient name for the city of Split on the Adriatic coast of present-day Croatia, historically notable as the site of the Roman Emperor Diocletian’s palace.
-
C.
Panza
Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
-
D.
Saperavi
Saperavi is a dark-skinned Georgian wine grape variety, renowned for producing deeply colored, full-bodied red wines with high acidity and strong aging potential.
-
E.
La Grassa
La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc228e24481909ae6a1e4ad796917 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4330de7a08190933aa7e9dc0a65be |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.