Triple

T15858101
Position Surface form Disambiguated ID Type / Status
Subject Operation Southern Watch E384511 entity
Predicate alsoKnownAs P39 FINISHED
Object OSW
OSW is the abbreviation for Operation Southern Watch, a U.S.-led military operation that enforced no-fly zones over southern Iraq after the Gulf War.
 E1179988 NE FINISHED

How this triple was built (4 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: OSW | Statement: [Operation Southern Watch, alsoKnownAs, OSW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSW
Context triple: [Operation Southern Watch, alsoKnownAs, OSW]
  • A. OSZK
    OSZK is the commonly used abbreviation for Hungary’s National Széchényi Library, the country’s primary national library and major cultural institution.
  • B. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • C. OPSK
    OPSK is the ICAO airport code assigned to Sukkur Airport in Pakistan.
  • D. OSAV
    OSAV is the French abbreviation for Switzerland’s Federal Food Safety and Veterinary Office, the national authority responsible for food safety, animal health, and animal welfare.
  • E. OSWP
    OSWP (Offensive Security Wireless Professional) is a specialized cybersecurity certification focused on assessing and exploiting vulnerabilities in wireless networks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OSW
Triple: [Operation Southern Watch, alsoKnownAs, OSW]
Generated description
OSW is the abbreviation for Operation Southern Watch, a U.S.-led military operation that enforced no-fly zones over southern Iraq after the Gulf War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSW
Target entity description: OSW is the abbreviation for Operation Southern Watch, a U.S.-led military operation that enforced no-fly zones over southern Iraq after the Gulf War.
  • A. OSZK
    OSZK is the commonly used abbreviation for Hungary’s National Széchényi Library, the country’s primary national library and major cultural institution.
  • B. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • C. OPSK
    OPSK is the ICAO airport code assigned to Sukkur Airport in Pakistan.
  • D. OSAV
    OSAV is the French abbreviation for Switzerland’s Federal Food Safety and Veterinary Office, the national authority responsible for food safety, animal health, and animal welfare.
  • E. OSWP
    OSWP (Offensive Security Wireless Professional) is a specialized cybersecurity certification focused on assessing and exploiting vulnerabilities in wireless networks.
  • F. None of above. chosen

Provenance (5 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555956ec8190b13602a177e7a2bb completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14c1e508190a182db216cc4e326 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41b33cc819096553ee33b144d36 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4a168108190b6edf41830aa4cd0 completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.