Triple
T14006867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Severiana |
E336970
|
entity |
| Predicate | servedSettlement |
P2741
|
FINISHED |
| Object | Astura |
E1074316
|
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: Astura | Statement: [Via Severiana, servedSettlement, Astura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astura Context triple: [Via Severiana, servedSettlement, Astura]
-
A.
Astura
chosen
Astura is an ancient coastal site in central Italy, known for its Roman ruins and medieval fortress near the Tyrrhenian Sea.
-
B.
Tosali
Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
-
C.
Daulida
Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
-
D.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
E.
Gradara
Gradara is a medieval hilltop town in Italy’s Marche region, renowned for its well-preserved castle and association with the tragic love story of Paolo and Francesca.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc329891c8190b4dcb9913e235a1c |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.