Triple
T9442736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grumentum |
E227685
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object | Matera |
E304593
|
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: Matera | Statement: [Grumentum, accessibleFrom, Matera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matera Context triple: [Grumentum, accessibleFrom, Matera]
-
A.
Matera
chosen
Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
-
B.
Alberobello
Alberobello is a town in southern Italy’s Apulia region famed for its distinctive whitewashed trulli houses with conical stone roofs, a UNESCO World Heritage Site.
-
C.
Martina Franca
Martina Franca is a historic hilltop town in Italy’s Apulia region, renowned for its Baroque architecture and annual classical music festival.
-
D.
Nocera Umbra
Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
-
E.
Cerignola
Cerignola is a large agricultural and industrial town in Italy’s Apulia region, known especially for its olive production and location in the fertile Tavoliere plain.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f300cc88190a793712706295c53 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14be965e881909acda0a2df1b24b3 |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:50 p.m.