Triple

T14768723
Position Surface form Disambiguated ID Type / Status
Subject Disko Bay E347071 entity
Predicate hasPort P35 FINISHED
Object Aasiaat E1118754 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: Aasiaat | Statement: [Disko Bay, hasPort, Aasiaat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aasiaat
Context triple: [Disko Bay, hasPort, Aasiaat]
  • A. Aasiaat chosen
    Aasiaat is a coastal town in western Greenland known for its fishing industry, colorful houses, and location amid the icebergs and wildlife-rich waters of the Arctic.
  • B. Amasia
    Amasia is a village located in Armenia’s Shirak Province, known for its rural setting in the country’s northwestern highlands.
  • C. Amasia
    Amasia (modern Amasya in Turkey) is an ancient city in northern Anatolia known as the early royal center of the Kingdom of Pontus and the birthplace of the geographer Strabo.
  • D. Planasia
    Planasia was a small island off the coast of Italy used by the Romans as a place of political exile.
  • E. Ήπειρος
    Η Ήπειρος είναι ιστορική και γεωγραφική περιοχή της βορειοδυτικής Ελλάδας, γνωστή για την ορεινή μορφολογία της, τα παραδοσιακά χωριά και τον πλούσιο πολιτιστικό της χαρακτήρα.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81236f081908063bb4350b7b985 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b41df881908119e183b8299c48 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.