Triple

T22041561
Position Surface form Disambiguated ID Type / Status
Subject Extra Help program E544647 entity
Predicate alsoKnownAs P39 FINISHED
Object LIS
LIS is a U.S. Medicare program that helps low-income beneficiaries pay for their Medicare Part D prescription drug costs.
E1515607 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: LIS | Statement: [Extra Help program, alsoKnownAs, LIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIS
Context triple: [Extra Help program, alsoKnownAs, LIS]
  • A. LIS
    LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
  • B. LISN
    LISN is the stock ticker symbol for Chocoladefabriken Lindt & Sprüngli AG, the Swiss premium chocolate manufacturer.
  • C. Lis
    Lis is a small unincorporated rural community located in Jasper County in the U.S. state of Illinois.
  • D. Lis
    Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
  • E. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • 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: LIS
Triple: [Extra Help program, alsoKnownAs, LIS]
Generated description
LIS is a U.S. Medicare program that helps low-income beneficiaries pay for their Medicare Part D prescription drug costs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LIS
Target entity description: LIS is a U.S. Medicare program that helps low-income beneficiaries pay for their Medicare Part D prescription drug costs.
  • A. LIS
    LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
  • B. LISN
    LISN is the stock ticker symbol for Chocoladefabriken Lindt & Sprüngli AG, the Swiss premium chocolate manufacturer.
  • C. Lis
    Lis is a small unincorporated rural community located in Jasper County in the U.S. state of Illinois.
  • D. Lis
    Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
  • E. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12829c1c081909edc7544242c9c7a completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b6f2a1c819090cfa07e83f24368 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c73537481908c644642f825569f completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d29f5a08190b41cad11e2192727 completed May 18, 2026, 2:44 a.m.
Created at: April 16, 2026, 8:25 p.m.