Triple

T15587391
Position Surface form Disambiguated ID Type / Status
Subject FDHA E374657 entity
Predicate abbreviation P43 FINISHED
Object DFI E980666 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: DFI | Statement: [FDHA, abbreviation, DFI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFI
Context triple: [FDHA, abbreviation, DFI]
  • A. DFI chosen
    DFI is an abbreviation commonly used for the Development Fund for Iraq, a financial mechanism established to manage and disburse Iraq’s oil revenues for reconstruction and humanitarian needs after the 2003 conflict.
  • B. DFC
    DFC is the commonly used abbreviation for the Distinguished Flying Cross, a military decoration awarded for exceptional courage or achievement during aerial operations.
  • C. DFC
    DFC is an abbreviation commonly used for the Doornfontein Campus of the University of Johannesburg in South Africa.
  • D. DFM
    DFM is the main stock exchange in Dubai, United Arab Emirates, where shares of local and regional companies are traded.
  • E. DFG
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c53617c8190b4367eee351dc025 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.