Triple

T27996781
Position Surface form Disambiguated ID Type / Status
Subject Kestrel engine E707033 entity
Predicate usedOnVehicle P2367 FINISHED
Object Falcon 1 upper stage
The Falcon 1 upper stage was the second stage of SpaceX’s first orbital launch vehicle, designed to place small payloads into orbit using a single Kestrel engine.
E1805444 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: Falcon 1 upper stage | Statement: [Kestrel engine, usedOnVehicle, Falcon 1 upper stage]
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: Falcon 1 upper stage
Triple: [Kestrel engine, usedOnVehicle, Falcon 1 upper stage]
Generated description
The Falcon 1 upper stage was the second stage of SpaceX’s first orbital launch vehicle, designed to place small payloads into orbit using a single Kestrel engine.

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_69ef96b980d88190a753b2f9a978595a completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63bab984881909efaa8099e38fdf1 completed May 2, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7896b308190961caf52f6550146 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15d85aac10819081766d216efdceb2 completed May 26, 2026, 5:28 p.m.
NED2 Entity disambiguation (via description) batch_6a15dac9497c8190b12b0088d9907ce5 completed May 26, 2026, 5:39 p.m.
Created at: April 27, 2026, 7:53 p.m.