Triple

T13857246
Position Surface form Disambiguated ID Type / Status
Subject Electronic Communications Privacy Act E333097 entity
Predicate abbreviation P43 FINISHED
Object ECPA E10928 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: ECPA | Statement: [Electronic Communications Privacy Act, abbreviation, ECPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECPA
Context triple: [Electronic Communications Privacy Act, abbreviation, ECPA]
  • A. Electronic Communications Privacy Act chosen
    The Electronic Communications Privacy Act is a U.S. federal law that governs the interception, access, and disclosure of electronic communications and associated data by government and private entities.
  • B. ECP
    ECP is the stock ticker symbol for EuropaCorp, a French film studio and production company founded by filmmaker Luc Besson.
  • C. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • D. ECP
    ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
  • E. ECP
    ECP is a commercial airport serving the Panama City, Florida area and the surrounding Gulf Coast region.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02dc9f488190b7181dcb7e304632 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fb7c3c819081fc6f89aa17d6af completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.