Triple

T18034553
Position Surface form Disambiguated ID Type / Status
Subject AKEL E431472 entity
Predicate tradeUnionWing P7715 FINISHED
Object PEO
PEO is the trade union federation historically aligned with the left-wing AKEL party in Cyprus, representing workers’ interests and labor rights.
 E1302411 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: PEO | Statement: [AKEL, tradeUnionWing, PEO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEO
Context triple: [AKEL, tradeUnionWing, PEO]
  • A. PEO M&S
    PEO M&S is a U.S. Army acquisition organization responsible for developing, procuring, and sustaining missile and space systems to support national defense.
  • B. POU
    POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
  • C. PO
    PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
  • D. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • E. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • 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: PEO
Triple: [AKEL, tradeUnionWing, PEO]
Generated description
PEO is the trade union federation historically aligned with the left-wing AKEL party in Cyprus, representing workers’ interests and labor rights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEO
Target entity description: PEO is the trade union federation historically aligned with the left-wing AKEL party in Cyprus, representing workers’ interests and labor rights.
  • A. PEO M&S
    PEO M&S is a U.S. Army acquisition organization responsible for developing, procuring, and sustaining missile and space systems to support national defense.
  • B. POU
    POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
  • C. PO
    PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
  • D. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • E. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be38766c8190ae95701f4575469c completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349b16af88190b1b67765cc133807 completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034af2f26c8190823a7c943632e35f completed May 12, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_6a034ba6c5648190bd3d67b66133e738 completed May 12, 2026, 3:47 p.m.
Created at: April 10, 2026, 10:25 a.m.