Triple

T17574266
Position Surface form Disambiguated ID Type / Status
Subject Sansepolcro E428019 entity
Predicate twinTown P1072 FINISHED
Object Sinj 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: Sinj | Statement: [Sansepolcro, twinTown, Sinj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinj
Context triple: [Sansepolcro, twinTown, Sinj]
  • A. Sinj chosen
    Sinj is a historic inland town in southern Croatia known for its annual Sinjska Alka knight’s tournament and its location in the Cetina River valley.
  • B. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • C. Sainj
    Sainj is a small town in Himachal Pradesh, India, known as a primary access point to the Great Himalayan National Park and the scenic Sainj Valley.
  • D. Sinjal
    Sinjal is the highest mountain peak of the Dinara range, located on the border between Croatia and Bosnia and Herzegovina.
  • E. Sinis
    Sinis is a bandit from Greek mythology, notorious for violently killing travelers by bending and releasing pine trees, who was ultimately slain by the hero Theseus.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4593403648190836266dbdb6cfc9f completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.