Triple

T22752852
Position Surface form Disambiguated ID Type / Status
Subject Neath Estuary E562753 entity
Predicate locatedNear P294 FINISHED
Object Baglan Bay 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: Baglan Bay | Statement: [Neath Estuary, locatedNear, Baglan Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baglan Bay
Context triple: [Neath Estuary, locatedNear, Baglan Bay]
  • A. Baglan Bay chosen
    Baglan Bay is a coastal bay in South Wales known for its sandy shoreline and proximity to the town of Port Talbot.
  • B. Baysan
    Baysan is the ancient name of the city now known as Beit She'an, a historically significant settlement in northern Israel with roots dating back to antiquity.
  • C. Baglan
    Baglan is a village and community in Neath Port Talbot, Wales, known for its residential areas and proximity to industrial and coastal zones.
  • D. Buna Bay
    Buna Bay is a coastal inlet in Papua New Guinea known for its proximity to the historic World War II battleground of Buna.
  • E. Kabira Bay
    Kabira Bay is a renowned scenic bay on Ishigaki Island in Japan, famous for its emerald-green waters, coral reefs, and black pearl cultivation.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179baa85881909140f41f2428cc98 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.