Triple

T585425
Position Surface form Disambiguated ID Type / Status
Subject Thessaly E15145 entity
Predicate ISOCode P208 FINISHED
Object GR-F
GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
 E73191 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: GR-F | Statement: [Thessaly, ISOCode, GR-F]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR-F
Context triple: [Thessaly, ISOCode, GR-F]
  • A. FGR4
    FGR4 is a multirole combat aircraft designation used by the Royal Air Force for the Eurofighter Typhoon in its fighter, ground-attack, and reconnaissance configuration.
  • B. GRG
    GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • C. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • D. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • E. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • 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: GR-F
Triple: [Thessaly, ISOCode, GR-F]
Generated description
GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR-F
Target entity description: GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
  • A. FGR4
    FGR4 is a multirole combat aircraft designation used by the Royal Air Force for the Eurofighter Typhoon in its fighter, ground-attack, and reconnaissance configuration.
  • B. GRG
    GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • C. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • D. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • E. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9874c88190bd1e08d4689ea124 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e25f4e4819081c8973b0f24dec0 completed March 2, 2026, 4:12 a.m.
NEDg Description generation batch_69a50ea21c54819099975c66b97f97f3 completed March 2, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_69a50f2e06288190a8ddf49310ee2790 completed March 2, 2026, 4:16 a.m.
Created at: March 1, 2026, 7:33 p.m.