Triple

T6228147
Position Surface form Disambiguated ID Type / Status
Subject Sukhoi Su-30MKI E139284 entity
Predicate NATOReportingName P6062 FINISHED
Object Flanker‑H
Flanker‑H is the NATO reporting name for the Sukhoi Su-30MKI, a twin-engine, multirole air superiority fighter aircraft developed for the Indian Air Force.
E578337 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: Flanker‑H | Statement: [Sukhoi Su-30MKI, NATOReportingName, Flanker‑H]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flanker‑H
Context triple: [Sukhoi Su-30MKI, NATOReportingName, Flanker‑H]
  • A. Rakhiot Flank
    Rakhiot Flank is a prominent route and face on Nanga Parbat, known historically as the line of the mountain’s first successful ascent.
  • B. Millog
    Millog is a Finnish defense and maintenance company specializing in lifecycle support and readiness services for military equipment and systems.
  • C. Arsenal Wing
    Arsenal Wing is a section of Gatchina Palace historically used for storing and displaying weapons and military equipment.
  • D. Swift F.1
    The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
  • E. Swift F.2
    The Swift F.2 was an early production fighter variant of the British Supermarine Swift jet, featuring improved armament and performance over the initial models.
  • 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: Flanker‑H
Triple: [Sukhoi Su-30MKI, NATOReportingName, Flanker‑H]
Generated description
Flanker‑H is the NATO reporting name for the Sukhoi Su-30MKI, a twin-engine, multirole air superiority fighter aircraft developed for the Indian Air Force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flanker‑H
Target entity description: Flanker‑H is the NATO reporting name for the Sukhoi Su-30MKI, a twin-engine, multirole air superiority fighter aircraft developed for the Indian Air Force.
  • A. Rakhiot Flank
    Rakhiot Flank is a prominent route and face on Nanga Parbat, known historically as the line of the mountain’s first successful ascent.
  • B. Millog
    Millog is a Finnish defense and maintenance company specializing in lifecycle support and readiness services for military equipment and systems.
  • C. Arsenal Wing
    Arsenal Wing is a section of Gatchina Palace historically used for storing and displaying weapons and military equipment.
  • D. Swift F.1
    The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
  • E. Swift F.2
    The Swift F.2 was an early production fighter variant of the British Supermarine Swift jet, featuring improved armament and performance over the initial models.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d686b88190a0e7e38ab52e2d4a completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20de16d988190acdec1deba75e06e completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c2141927288190bad4ec024997a45e completed March 24, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69c214d7f2d08190bd6dab4da08c97dc completed March 24, 2026, 4:36 a.m.
Created at: March 22, 2026, 4:22 p.m.