Triple

T19650839
Position Surface form Disambiguated ID Type / Status
Subject Södertälje E471808 entity
Predicate hasHarbour P3007 FINISHED
Object Södertälje port NE NERFINISHED

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: Södertälje port | Statement: [Södertälje, hasHarbour, Södertälje port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Södertälje port
Context triple: [Södertälje, hasHarbour, Södertälje port]
  • A. Port of Södertälje chosen
    The Port of Södertälje is a Swedish commercial and industrial seaport near Stockholm that handles cargo and shipping traffic via the Baltic Sea.
  • B. Port of Norrköping
    The Port of Norrköping is a major Swedish seaport on the Baltic Sea that serves as an important hub for regional trade, logistics, and industrial shipping.
  • C. Port of Sundsvall
    The Port of Sundsvall is a key Swedish Baltic Sea harbor serving as an important regional hub for cargo handling and maritime trade in central Norrland.
  • D. Port of Oskarshamn
    The Port of Oskarshamn is a Swedish Baltic Sea harbor and ferry terminal in Småland, serving as an important regional hub for passenger and cargo traffic.
  • E. Södertälje Harbour
    Södertälje Harbour is a key port and industrial waterfront area in Södertälje, Sweden, serving as an important hub for maritime transport and logistics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641286bbc8190886f309de13063bf completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.