Triple

T8481358
Position Surface form Disambiguated ID Type / Status
Subject Special Emergency Reaction Team E200526 entity
Predicate abbreviation P43 FINISHED
Object SERT E200526 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: SERT | Statement: [Special Emergency Reaction Team, abbreviation, SERT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SERT
Context triple: [Special Emergency Reaction Team, abbreviation, SERT]
  • A. SERT chosen
    SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
  • B. Sert
    Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
  • C. SEREB
    SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • D. SER
    SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
  • E. SERNANP
    SERNANP is Peru’s national authority responsible for managing and conserving the country’s system of protected natural areas.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5245034819088c7c5c40170c020 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.