Triple

T8588789
Position Surface form Disambiguated ID Type / Status
Subject Hellenic Army Special Forces E203375 entity
Predicate hasUnit P35 FINISHED
Object ETA
ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
 E745123 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: [Hellenic Army Special Forces, hasUnit, ETA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ETA
Context triple: [Hellenic Army Special Forces, hasUnit, 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. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • D. 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.
  • E. ETO
    ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
  • 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: [Hellenic Army Special Forces, hasUnit, ETA]
Generated description
ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ETA
Target entity description: ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
  • 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. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • D. 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.
  • E. ETO
    ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466300bc8190aa5659a4e6a9694a completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8acebac81909d2fce98c6901f0c completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:23 p.m.