Triple

T10603317
Position Surface form Disambiguated ID Type / Status
Subject Bansin E275805 entity
Predicate hasAttraction P105 FINISHED
Object Bansin pier E219468 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: Bansin pier | Statement: [Bansin, hasAttraction, Bansin pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bansin pier
Context triple: [Bansin, hasAttraction, Bansin pier]
  • A. Satun Pier
    Satun Pier is a coastal port facility in Thailand’s Satun Province that serves as a key gateway for passenger and cargo ferries to nearby islands and neighboring countries.
  • B. Konak Pier
    Konak Pier is a historic waterfront shopping and leisure complex in İzmir, Turkey, originally built as a customs house during the Ottoman era and later renovated into a modern commercial center.
  • C. Thongsala Pier
    Thongsala Pier is the main ferry terminal and transportation hub on Ko Pha Ngan, Thailand, serving as the primary gateway for travelers arriving by sea.
  • D. Arinagour pier
    Arinagour pier is the main ferry terminal serving the village of Arinagour on the Isle of Coll in Scotland’s Inner Hebrides.
  • E. Starnberg pier chosen
    Starnberg pier is a lakeside promenade and docking point on Lake Starnberg in Bavaria, Germany, known for its scenic views and boat connections.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded6d698819084f96f46ea941461 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.