Triple

T17110391
Position Surface form Disambiguated ID Type / Status
Subject Legaliteti E415208 entity
Predicate leader P981 FINISHED
Object Abaz Kupi E1250562 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: Abaz Kupi | Statement: [Legaliteti, leader, Abaz Kupi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abaz Kupi
Context triple: [Legaliteti, leader, Abaz Kupi]
  • A. Abaz Kupi chosen
    Abaz Kupi was an Albanian nationalist military leader and anti-communist figure best known for his role in resistance movements during World War II.
  • B. Bogatić
    Bogatić is a small Serbian town that serves as an important local center in the fertile Mačva region of western Serbia.
  • C. Jashari
    Jashari is a prominent Albanian family name most famously associated with Adem Jashari, a key figure in the Kosovo Liberation Army and symbol of Kosovar resistance.
  • D. Kostelić
    Kostelić is a Croatian surname most famously associated with the champion alpine skiing family that includes Olympic gold medalist Janica Kostelić.
  • E. Miljan
    Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc29c884819092a97d9663a1b1f7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014145f7988190803d5c5e4f2705b0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.