Triple

T38434909
Position Surface form Disambiguated ID Type / Status
Subject 2nd Legions Infantry Division E903913 entity
Predicate hasComponent P35 FINISHED
Object 2nd Legions Infantry Regiment
The 2nd Legions Infantry Regiment was a Polish Army infantry unit with historical roots in the Polish Legions, noted for its participation in key military campaigns of the early 20th century.
 E2269295 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: 2nd Legions Infantry Regiment | Statement: [2nd Legions Infantry Division, hasComponent, 2nd Legions Infantry Regiment]
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: 2nd Legions Infantry Regiment
Triple: [2nd Legions Infantry Division, hasComponent, 2nd Legions Infantry Regiment]
Generated description
The 2nd Legions Infantry Regiment was a Polish Army infantry unit with historical roots in the Polish Legions, noted for its participation in key military campaigns of the early 20th century.

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_69f76e6a2024819081aa04f4932f89d2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccdb367f881908cbb126b0405d3f6 completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c29489a48190babb81059e78f2fa completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c2fcd74881909c4259479301702a completed June 29, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a41c3b0ec6c8190becf6b8f5287b129 completed June 29, 2026, 1 a.m.
Created at: May 3, 2026, 4:31 p.m.