Triple

T12986607
Position Surface form Disambiguated ID Type / Status
Subject Teoh E321783 entity
Predicate hasVariantSpelling P457 FINISHED
Object Tio E421991 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: Tio | Statement: [Teoh, hasVariantSpelling, Tio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tio
Context triple: [Teoh, hasVariantSpelling, Tio]
  • A. Tio chosen
    Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
  • B. Tiko
    Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
  • C. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • D. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • E. Tino
    Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f6245c8190867417c3ef1852e5 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:40 p.m.