Triple

T17228907
Position Surface form Disambiguated ID Type / Status
Subject effective altruism E418192 entity
Predicate hasConcept P531 FINISHED
Object QALY
QALY (Quality-Adjusted Life Year) is a health economics measure that combines both the quantity and quality of life lived to evaluate the value of medical interventions and resource allocation.
 E1257384 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: QALY | Statement: [effective altruism, hasConcept, QALY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QALY
Context triple: [effective altruism, hasConcept, QALY]
  • A. QOR
    QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
  • B. ECQ
    ECQ is the independent statutory authority responsible for conducting and regulating state and local government elections in Queensland, Australia.
  • C. EQC
    EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
  • D. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • E. Qontigo
    Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
  • 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: QALY
Triple: [effective altruism, hasConcept, QALY]
Generated description
QALY (Quality-Adjusted Life Year) is a health economics measure that combines both the quantity and quality of life lived to evaluate the value of medical interventions and resource allocation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QALY
Target entity description: QALY (Quality-Adjusted Life Year) is a health economics measure that combines both the quantity and quality of life lived to evaluate the value of medical interventions and resource allocation.
  • A. QOR
    QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
  • B. ECQ
    ECQ is the independent statutory authority responsible for conducting and regulating state and local government elections in Queensland, Australia.
  • C. EQC
    EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
  • D. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • E. Qontigo
    Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df55e788190b442ffd4fac768c9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675eae08819093427b4dc1ffee5f completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016a1f6eac8190951ae30f37144d2a completed May 11, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a016a92af248190aaed36040486bf40 completed May 11, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:39 a.m.