Triple

T16713890
Position Surface form Disambiguated ID Type / Status
Subject Public Law 111-152 E406174 entity
Predicate shortName P43 FINISHED
Object HCERA E406173 NE FINISHED

How this triple was built (2 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: HCERA | Statement: [Public Law 111-152, shortName, HCERA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HCERA
Context triple: [Public Law 111-152, shortName, HCERA]
  • A. HCERA chosen
    HCERA is a 2010 U.S. federal law that amended the Affordable Care Act and overhauled student loan programs to expand health care coverage and education funding.
  • B. CEHC
    CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
  • C. HECA
    HECA is the ICAO airport code designating Cairo International Airport, the main international gateway to Cairo, Egypt.
  • D. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • E. ECRA
    ECRA is a U.S. federal law that modernizes and strengthens controls on the export of sensitive technologies and goods important to national security and foreign policy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38653cdd48190863e1cc989e21f39 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.