Triple

T9612572
Position Surface form Disambiguated ID Type / Status
Subject Emergency Response Team E232137 entity
Predicate hasAcronym P43 FINISHED
Object ERT E232137 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: ERT | Statement: [Emergency Response Team, hasAcronym, ERT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERT
Context triple: [Emergency Response Team, hasAcronym, ERT]
  • A. ERT chosen
    ERT is an acronym commonly used to refer to an Emergency Response Team, a specialized group trained to react quickly and effectively to crises or hazardous incidents.
  • B. 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.
  • C. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • D. ER
    ER is the zone code for Eastern Railway, one of the major railway zones of Indian Railways headquartered in Kolkata.
  • E. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8885f88190887843e0fb32a5f3 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17958287081908e337bdbe9ea366f completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.