Triple

T16991086
Position Surface form Disambiguated ID Type / Status
Subject Split-Dalmatia County E412194 entity
Predicate containsPort P35 FINISHED
Object Port of Split E412198 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: Port of Split | Statement: [Split-Dalmatia County, containsPort, Port of Split]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Split
Context triple: [Split-Dalmatia County, containsPort, Port of Split]
  • A. Port of Split chosen
    The Port of Split is a major Croatian seaport on the Adriatic Sea, serving as a key passenger and cargo hub and the main gateway to the Dalmatian islands.
  • B. Port of Rijeka
    The Port of Rijeka is Croatia’s largest seaport and a major Adriatic maritime hub for cargo and passenger transport.
  • C. Port of Zadar
    The Port of Zadar is a key Croatian Adriatic seaport serving passenger ferries, cargo traffic, and tourism for the city of Zadar and its surrounding islands.
  • D. Port of Korčula
    The Port of Korčula is a coastal harbor and maritime transport hub serving the town and island of Korčula in Croatia, handling passenger ferries, local boats, and regional sea traffic.
  • E. Port of Osijek
    The Port of Osijek is an inland river port on the Drava River in eastern Croatia that serves as a regional hub for cargo transport and trade.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d280e3348190a27bd5dc7cf87c0e completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b433e688190ac8dda10638a197f completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:32 a.m.