Triple
T7642373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Cruise Line |
E173037
|
entity |
| Predicate | operatesFromPort |
P6602
|
FINISHED |
| Object | Civitavecchia |
E194036
|
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: Civitavecchia | Statement: [Disney Cruise Line, operatesFromPort, Civitavecchia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Civitavecchia Context triple: [Disney Cruise Line, operatesFromPort, Civitavecchia]
-
A.
Civitavecchia
chosen
Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
-
B.
Gaeta
Gaeta is a historic coastal town in central Italy known for its scenic Gulf of Gaeta, medieval fortifications, and strategic military and maritime significance.
-
C.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
-
D.
Pomezia
Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
-
E.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9c2e6b2e88190be579a15109d4f82 |
completed | March 30, 2026, 12:25 a.m. |
Created at: March 27, 2026, 3:58 p.m.