Triple

T11096915
Position Surface form Disambiguated ID Type / Status
Subject European Globalisation Adjustment Fund E262400 entity
Predicate shortName P43 FINISHED
Object EGF E223156 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: EGF | Statement: [European Globalisation Adjustment Fund, shortName, EGF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGF
Context triple: [European Globalisation Adjustment Fund, shortName, EGF]
  • A. EGF chosen
    EGF is the ICAO airline designator used to identify American Eagle Airlines in aviation operations and communications.
  • B. EGFR
    EGFR (epidermal growth factor receptor) is a transmembrane receptor tyrosine kinase that regulates cell growth and survival and is frequently implicated in cancer development and progression.
  • C. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • D. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • E. EPO
    EPO is the commonly used abbreviation for the Hellenic Football Federation, the governing body of football in Greece.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.