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.