Triple

T9992615
Position Surface form Disambiguated ID Type / Status
Subject UNTAET E196923 entity
Predicate shortName P43 FINISHED
Object UNTAET E196923 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: UNTAET | Statement: [UNTAET, shortName, UNTAET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNTAET
Context triple: [UNTAET, shortName, UNTAET]
  • A. UNTAET chosen
    UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
  • B. UNTL
    UNTL is the main public university of Timor-Leste, offering higher education and research across a range of academic disciplines.
  • C. UNTAES
    UNTAES (United Nations Transitional Administration for Eastern Slavonia, Baranja and Western Sirmium) was a UN peacekeeping and transitional authority that administered and peacefully reintegrated the last Serb-held regions of Croatia after the Croatian War of Independence.
  • D. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • E. UNWE
    UNWE is a leading Bulgarian higher education institution in Sofia specializing in economics, business, and social sciences.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb96c7308190902802ef5df764c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2582ac03481908e76c10218f419d5 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.