Triple

T25842265
Position Surface form Disambiguated ID Type / Status
Subject Mark 48 torpedo E650967 entity
Predicate propulsion P393 FINISHED
Object Otto fuel II monopropellant
Otto fuel II monopropellant is a specialized, non-cryogenic liquid propellant commonly used in naval torpedoes and other underwater propulsion systems for its stability and high energy density.
E1696863 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: Otto fuel II monopropellant | Statement: [Mark 48 torpedo, propulsion, Otto fuel II monopropellant]
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: Otto fuel II monopropellant
Triple: [Mark 48 torpedo, propulsion, Otto fuel II monopropellant]
Generated description
Otto fuel II monopropellant is a specialized, non-cryogenic liquid propellant commonly used in naval torpedoes and other underwater propulsion systems for its stability and high energy density.

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_69e7ab38086081908f3a8e7e0c6efd83 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f601f9c4c48190bfc072f720c86868 completed May 2, 2026, 1:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da324794819098bd5bc0e18e16c1 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dadc94ac819093dcd582156e6705 completed May 22, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10db3bac4c81908662fb96783d2612 completed May 22, 2026, 10:39 p.m.
Created at: April 22, 2026, 7:50 a.m.