Triple
T6808933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lordship of Piombino |
E156581
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Piombino |
E152782
|
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: Piombino | Statement: [Lordship of Piombino, hasPort, Piombino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piombino Context triple: [Lordship of Piombino, hasPort, Piombino]
-
A.
Piombino
chosen
Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
-
B.
Diano Marina
Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
C.
Porto Cervo
Porto Cervo is an exclusive luxury seaside resort and marina on Sardinia’s Costa Smeralda, renowned for its upscale tourism, yachting scene, and high-end boutiques.
-
D.
Marina di Pisa
Marina di Pisa is a coastal town in Tuscany, Italy, known as a seaside resort near Pisa on the Ligurian Sea.
-
E.
Marina di Campo
Marina di Campo is a coastal town on the Italian island of Elba, known for its long sandy beach and role as a popular tourist destination in the Tuscan Archipelago.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30c741881909e220b05aa564bc2 |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723d775a48190bfdf5b6a52339833 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:16 p.m.