Triple

T18178101
Position Surface form Disambiguated ID Type / Status
Subject European Neighbourhood Policy E435214 entity
Predicate hasAcronym P43 FINISHED
Object ENP
ENP is the European Union’s foreign policy framework aimed at fostering stability, security, and cooperation with neighboring countries to the east and south of the EU.
 E1311729 NE FINISHED

How this triple was built (4 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: ENP | Statement: [European Neighbourhood Policy, hasAcronym, ENP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENP
Context triple: [European Neighbourhood Policy, hasAcronym, ENP]
  • A. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • B. EPNT
    EPNT is the ICAO airport code assigned to Nowy Targ Airport in Poland.
  • C. EPU
    EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
  • D. POE
    POE is the ICAO airline designator used to identify Porter Airlines in international aviation operations.
  • E. EPE
    EPE is a major expressway in India that serves as a peripheral bypass around Delhi to reduce traffic congestion and pollution in the National Capital Region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ENP
Triple: [European Neighbourhood Policy, hasAcronym, ENP]
Generated description
ENP is the European Union’s foreign policy framework aimed at fostering stability, security, and cooperation with neighboring countries to the east and south of the EU.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENP
Target entity description: ENP is the European Union’s foreign policy framework aimed at fostering stability, security, and cooperation with neighboring countries to the east and south of the EU.
  • A. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • B. EPNT
    EPNT is the ICAO airport code assigned to Nowy Targ Airport in Poland.
  • C. EPU
    EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
  • D. POE
    POE is the ICAO airline designator used to identify Porter Airlines in international aviation operations.
  • E. EPE
    EPE is a major expressway in India that serves as a peripheral bypass around Delhi to reduce traffic congestion and pollution in the National Capital Region.
  • F. None of above. chosen

Provenance (5 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5b68f081908aac8210270f1499 completed April 19, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0397fd8ab481909868d3600172b0e4 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0398fb7fb481908a32c56a798d81fd completed May 12, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a039a2b85888190bbcae1ba9d8ba715 completed May 12, 2026, 9:22 p.m.
Created at: April 10, 2026, 10:31 a.m.