Triple

T18225782
Position Surface form Disambiguated ID Type / Status
Subject Enforcement and Removal Operations E436417 entity
Predicate abbreviation P43 FINISHED
Object ERO NE NERFINISHED

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: ERO | Statement: [Enforcement and Removal Operations, abbreviation, ERO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERO
Context triple: [Enforcement and Removal Operations, abbreviation, ERO]
  • A. ERO chosen
    ERO is a division of U.S. Immigration and Customs Enforcement responsible for identifying, detaining, and removing individuals who violate immigration laws.
  • B. ERO
    ERO is the ICAO airline designator assigned to Sun d'Or International Airlines, an Israeli charter carrier affiliated with El Al.
  • C. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • D. ER
    ER is the station code for Ermita station, a stop on Manila’s Light Rail Transit system in the Philippines.
  • E. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aeb4cc81908959413c368a2243 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.