Triple

T7885153
Position Surface form Disambiguated ID Type / Status
Subject Technical Chamber of Greece E183083 entity
Predicate shortName P43 FINISHED
Object TEE
TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
E696294 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: TEE | Statement: [Technical Chamber of Greece, shortName, TEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEE
Context triple: [Technical Chamber of Greece, shortName, TEE]
  • A. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • B. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • C. tet
    tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
  • D. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • E. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • 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: TEE
Triple: [Technical Chamber of Greece, shortName, TEE]
Generated description
TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TEE
Target entity description: TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
  • A. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • B. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • C. tet
    tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
  • D. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • E. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39d62a148190bed4e0d199aa427b completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b9286c881909ec01cb899e71d42 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb5df0287881908bce1a4449e9f252 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb769944d08190ba8c2f5fe76e037b completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 4:59 p.m.