Triple

T2887904
Position Surface form Disambiguated ID Type / Status
Subject Piraeus regional unit E59549 entity
Predicate ISO3166-2Code P208 FINISHED
Object GR-A1
GR-A1 is the ISO 3166-2 subdivision code assigned to the Piraeus regional unit in Greece.
 E306707 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-A1 | Statement: [Piraeus regional unit, ISO3166-2Code, GR-A1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR-A1
Context triple: [Piraeus regional unit, ISO3166-2Code, GR-A1]
  • A. GR-F
    GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
  • B. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • C. GVRA
    GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
  • D. GA-316
    GA-316 is a major east–west state highway in Georgia that connects the Atlanta metropolitan area with the city of Athens.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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-A1
Triple: [Piraeus regional unit, ISO3166-2Code, GR-A1]
Generated description
GR-A1 is the ISO 3166-2 subdivision code assigned to the Piraeus regional unit in Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR-A1
Target entity description: GR-A1 is the ISO 3166-2 subdivision code assigned to the Piraeus regional unit in Greece.
  • A. GR-F
    GR-F is the ISO 3166-2 regional code assigned to the Greek administrative region of Thessaly.
  • B. GA-1
    GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
  • C. GVRA
    GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
  • D. GA-316
    GA-316 is a major east–west state highway in Georgia that connects the Atlanta metropolitan area with the city of Athens.
  • E. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317601688190a8a99644579b137c completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b032aa567081909402532d6fe438bc completed March 10, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69b033db495c8190bb6989210d72307b completed March 10, 2026, 3:08 p.m.
Created at: March 6, 2026, 10:03 p.m.