Triple

T9793601
Position Surface form Disambiguated ID Type / Status
Subject Estonian Academy of Sciences E237663 entity
Predicate shortName P43 FINISHED
Object ETA
ETA is the abbreviation for the Estonian Academy of Sciences, the leading national body that coordinates and promotes scientific research in Estonia.
 E820914 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: ETA | Statement: [Estonian Academy of Sciences, shortName, ETA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ETA
Context triple: [Estonian Academy of Sciences, shortName, ETA]
  • A. ETA
    ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
  • B. ETA
    ETA was a Basque separatist militant organization in Spain known for its decades-long campaign of bombings, assassinations, and kidnappings.
  • C. ETA
    ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
  • D. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • E. ETO
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • 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: ETA
Triple: [Estonian Academy of Sciences, shortName, ETA]
Generated description
ETA is the abbreviation for the Estonian Academy of Sciences, the leading national body that coordinates and promotes scientific research in Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ETA
Target entity description: ETA is the abbreviation for the Estonian Academy of Sciences, the leading national body that coordinates and promotes scientific research in Estonia.
  • A. ETA
    ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
  • B. ETA
    ETA was a Basque separatist militant organization in Spain known for its decades-long campaign of bombings, assassinations, and kidnappings.
  • C. ETA
    ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
  • D. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • E. ETO
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:28 p.m.