Triple

T34880991
Position Surface form Disambiguated ID Type / Status
Subject United States military badges E1006007 entity
Predicate differFrom P1612 FINISHED
Object United States military rank insignia
United States military rank insignia are standardized symbols worn on uniforms to indicate a service member’s rank and position within the armed forces hierarchy.
E1403205 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: United States military rank insignia | Statement: [United States military badges, differFrom, United States military rank insignia]
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: United States military rank insignia
Triple: [United States military badges, differFrom, United States military rank insignia]
Generated description
United States military rank insignia are standardized symbols worn on uniforms to indicate a service member’s rank and position within the armed forces hierarchy.

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_69f76dbedb288190afe5780710847410 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f781a0c11881908b5855486a6c8200 completed May 3, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37796ae15c8190a835922d437c3299 completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a377a6cd7c48190aa8d76a19cd6ef4e completed June 21, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_6a377b124f288190a861cdacfbbc0b5d completed June 21, 2026, 5:48 a.m.
Created at: May 3, 2026, 4 p.m.