Triple

T9595447
Position Surface form Disambiguated ID Type / Status
Subject Gusar District E231519 entity
Predicate capital P234 FINISHED
Object Gusar E808576 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: Gusar | Statement: [Gusar District, capital, Gusar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gusar
Context triple: [Gusar District, capital, Gusar]
  • A. Gusar chosen
    Gusar is a mountainous town and popular tourist destination in northeastern Azerbaijan, known as a gateway to the Greater Caucasus and nearby ski resorts.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • C. Moračani
    Moračani are a historical Montenegrin highland tribe traditionally inhabiting the Morača river valley region in central Montenegro.
  • D. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • E. Cocijo
    Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a164c20819093fa863f8f5f79c0 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1792461208190968276ade7c4165d completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:07 p.m.