Triple

T11097555
Position Surface form Disambiguated ID Type / Status
Subject DG HR E262413 entity
Predicate shortName P43 FINISHED
Object DG HR E262413 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: DG HR | Statement: [DG HR, shortName, DG HR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG HR
Context triple: [DG HR, shortName, DG HR]
  • A. DG HR chosen
    DG HR is the European Commission’s Directorate-General responsible for human resources management, staff policies, and security within the institution.
  • B. HR
    HR is the official vehicle registration code used on license plates for motor vehicles registered in the Indian state of Haryana.
  • C. HRM
    HRM is a common abbreviation for the Halifax Regional Municipality, the local government area encompassing the city of Halifax and surrounding communities in Nova Scotia, Canada.
  • D. HRM
    HRM is the acronym commonly used for the Croatian Navy, the maritime branch of Croatia’s armed forces.
  • E. Human Resources Directorate
    The Human Resources Directorate is the NATO International Staff division responsible for managing personnel policies, staffing, and workforce development within the Alliance’s civilian structure.
  • 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_69d79a0b2890819081c4efc50e995cdd 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.