Triple

T7111756
Position Surface form Disambiguated ID Type / Status
Subject Immigrant and Employee Rights Section E165722 entity
Predicate abbreviation P43 FINISHED
Object IER E165722 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: IER | Statement: [Immigrant and Employee Rights Section, abbreviation, IER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IER
Context triple: [Immigrant and Employee Rights Section, abbreviation, IER]
  • A. IER chosen
    IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
  • B. IRE
    IRE is the three-letter World Rugby code representing the Ireland national rugby union team.
  • C. IR
    IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
  • D. IR
    IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
  • E. IJ
    The IJ is a body of water in Amsterdam that serves as a key waterway for transport and shipping, separating the city center from Amsterdam-Noord.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5edf89c8190a069b35ff7768165 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbc35d48190974e207eb98dcbe3 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.