Triple

T12914979
Position Surface form Disambiguated ID Type / Status
Subject Nidelva (Agder) E308955 entity
Predicate hasMouthNear P350 FINISHED
Object Arendal harbor E22542 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: Arendal harbor | Statement: [Nidelva (Agder), hasMouthNear, Arendal harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arendal harbor
Context triple: [Nidelva (Agder), hasMouthNear, Arendal harbor]
  • A. Svaneke Harbor
    Svaneke Harbor is a small, picturesque coastal harbor in the town of Svaneke on the Danish island of Bornholm, known for its historic charm and maritime atmosphere.
  • B. Nyborg Harbour
    Nyborg Harbour is a Danish port facility in the coastal town of Nyborg on the island of Funen, serving local maritime traffic, fishing, and recreational boating.
  • C. Arendal chosen
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • D. Frederikshavn Harbour
    Frederikshavn Harbour is a major commercial and ferry port in the town of Frederikshavn in northern Denmark, serving as an important maritime hub for traffic across the Kattegat and to Norway and Sweden.
  • E. Orkdal Harbor
    Orkdal Harbor is a local port facility in Orkland municipality in Trøndelag, Norway, serving regional maritime transport and industry.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d101e08190b31d6aaaecf96507 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:41 p.m.