Triple
T17291695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Santo Stefano |
E419799
|
entity |
| Predicate | hasFerryConnectionTo |
P1831
|
FINISHED |
| Object | Giannutri |
E508281
|
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: Giannutri | Statement: [Porto Santo Stefano, hasFerryConnectionTo, Giannutri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giannutri Context triple: [Porto Santo Stefano, hasFerryConnectionTo, Giannutri]
-
A.
Giannutri
chosen
Giannutri is a small Italian island in the Tyrrhenian Sea, known for its rugged coastline, clear waters, and protected natural environment.
-
B.
Kalamoti
Kalamoti is a traditional medieval village on the Greek island of Chios, known for its distinctive stone architecture and production of mastic.
-
C.
Tsolikouri
Tsolikouri is a white grape variety from western Georgia, especially valued in Imereti for producing fresh, aromatic wines with balanced acidity.
-
D.
Lavreotiki
Lavreotiki is a municipality in East Attica, Greece, known for its historic mining town of Lavrio and its ancient silver mines that were crucial to classical Athens.
-
E.
Kammena Vourla
Kammena Vourla is a coastal spa town in central Greece known for its thermal springs and seaside tourism.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4378438508190924f732ad748b4d0 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195488d2c81908ac6c19f54f61796 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:40 a.m.