Triple
T22010220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanian plain |
E543554
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Mondragone |
—
|
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: Mondragone | Statement: [Campanian plain, hasMajorCity, Mondragone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mondragone Context triple: [Campanian plain, hasMajorCity, Mondragone]
-
A.
Mondragone
chosen
Mondragone is a coastal town and municipality in southern Italy known for its beaches, agriculture, and production of buffalo mozzarella.
-
B.
Mazzanta
Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
-
C.
Maracalagonis
Maracalagonis is a small Italian municipality in the Sardinian region, known for its traditional rural character and proximity to the city of Cagliari.
-
D.
Malamocco
Malamocco is a historic settlement on the Lido island in the Venetian Lagoon, once an early seat of Venetian government and now a quiet coastal district of Venice.
-
E.
Aigaleo
Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.