Triple
T20498668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Genoa |
E503243
|
entity |
| Predicate | countryRankByThroughput |
P140316
|
FINISHED |
| Object | one of the largest ports in Italy |
—
|
LITERAL 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: one of the largest ports in Italy | Statement: [Port of Genoa, countryRankByThroughput, one of the largest ports in Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryRankByThroughput Context triple: [Port of Genoa, countryRankByThroughput, one of the largest ports in Italy]
-
A.
regionRankByTraffic
Indicates the relative ordering of regions based on the amount of traffic they receive.
-
B.
rankingInCountryByTraffic
Indicates the position of something in an ordered list of entities within a specific country, based on the amount of traffic it receives.
-
C.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
-
D.
portRank
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
E.
countryRankingContext
Indicates the contextual framework or criteria under which a country's ranking is determined or interpreted.
- F. None of above. chosen
Provenance (4 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.