Triple

T6657491
Position Surface form Disambiguated ID Type / Status
Subject Higher Education Opportunity Act of 2008 E151383 entity
Predicate shortName P43 FINISHED
Object HEOA
HEOA is a U.S. federal law enacted in 2008 that reauthorized and expanded the Higher Education Act, focusing on college affordability, transparency, and access to postsecondary education.
 E609204 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: HEOA | Statement: [Higher Education Opportunity Act of 2008, shortName, HEOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HEOA
Context triple: [Higher Education Opportunity Act of 2008, shortName, HEOA]
  • A. HECA
    HECA is the ICAO airport code designating Cairo International Airport, the main international gateway to Cairo, Egypt.
  • B. MOE
    MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
  • C. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • D. EAHS
    EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • E. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • 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: HEOA
Triple: [Higher Education Opportunity Act of 2008, shortName, HEOA]
Generated description
HEOA is a U.S. federal law enacted in 2008 that reauthorized and expanded the Higher Education Act, focusing on college affordability, transparency, and access to postsecondary education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HEOA
Target entity description: HEOA is a U.S. federal law enacted in 2008 that reauthorized and expanded the Higher Education Act, focusing on college affordability, transparency, and access to postsecondary education.
  • A. HECA
    HECA is the ICAO airport code designating Cairo International Airport, the main international gateway to Cairo, Egypt.
  • B. MOE
    MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
  • C. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • D. EAHS
    EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • E. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06f3da88190b17649f44ee93fd1 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a2a150819091ec6e6d2905abcb completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1344dd4819096c1d3e216320c4d completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:01 p.m.