Triple

T29460079
Position Surface form Disambiguated ID Type / Status
Subject People's Storm E747210 entity
Predicate equipment P2728 FINISHED
Object Panzerfaust anti-tank weapons
Panzerfaust anti-tank weapons were German World War II-era disposable, shoulder-fired anti-tank rocket launchers designed for infantry to destroy enemy armored vehicles at close range.
E1869942 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: Panzerfaust anti-tank weapons | Statement: [People's Storm, equipment, Panzerfaust anti-tank weapons]
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: Panzerfaust anti-tank weapons
Triple: [People's Storm, equipment, Panzerfaust anti-tank weapons]
Generated description
Panzerfaust anti-tank weapons were German World War II-era disposable, shoulder-fired anti-tank rocket launchers designed for infantry to destroy enemy armored vehicles at close range.

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_69f0bd4125f88190b56104591351619c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66b703fb48190ad2b95cf523bdd00 completed May 2, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f10f6b68819099ae50442cb7a098 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f511e960819093280d75cefec6fd completed June 7, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_6a25f92f6744819093a671170bd83115 completed June 7, 2026, 11:05 p.m.
Created at: April 28, 2026, 3:49 p.m.