Triple

T30228709
Position Surface form Disambiguated ID Type / Status
Subject Republic Navy E768565 entity
Predicate starfighterType P80077 FINISHED
Object V-19 Torrent starfighter
The V-19 Torrent starfighter is a Clone Wars–era Republic assault starfighter known for its folding wings, high maneuverability, and use by clone pilots in atmospheric and space combat.
E1916290 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: V-19 Torrent starfighter | Statement: [Republic Navy, starfighterType, V-19 Torrent starfighter]
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: V-19 Torrent starfighter
Triple: [Republic Navy, starfighterType, V-19 Torrent starfighter]
Generated description
The V-19 Torrent starfighter is a Clone Wars–era Republic assault starfighter known for its folding wings, high maneuverability, and use by clone pilots in atmospheric and space combat.

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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f680237f0081908132a9409591381f completed May 2, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac0301ec8190a45a0ec8280ad49d completed June 9, 2026, 6 a.m.
NEDg Description generation batch_6a27ac77f0f481909fa30ba790f1e058 completed June 9, 2026, 6:02 a.m.
NED2 Entity disambiguation (via description) batch_6a27ad35d0b881909deb284ce7506ed6 completed June 9, 2026, 6:05 a.m.
Created at: April 29, 2026, 7:36 p.m.