Triple

T12880101
Position Surface form Disambiguated ID Type / Status
Subject Greek National Road 3 E308069 entity
Predicate hasAbbreviation P43 FINISHED
Object EO3
EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
E1007836 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: EO3 | Statement: [Greek National Road 3, hasAbbreviation, EO3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EO3
Context triple: [Greek National Road 3, hasAbbreviation, EO3]
  • A. OEO
    OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
  • B. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • C. OES
    OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
  • D. O3
    O3 is the third observing run of the LIGO–Virgo gravitational-wave detector network, during which numerous gravitational-wave events from compact binary mergers were detected.
  • E. ÓE
    ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
  • 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: EO3
Triple: [Greek National Road 3, hasAbbreviation, EO3]
Generated description
EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EO3
Target entity description: EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
  • A. OEO
    OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
  • B. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • C. OES
    OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
  • D. O3
    O3 is the third observing run of the LIGO–Virgo gravitational-wave detector network, during which numerous gravitational-wave events from compact binary mergers were detected.
  • E. ÓE
    ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:39 p.m.