Triple

T34849479
Position Surface form Disambiguated ID Type / Status
Subject Operation Shingle E1004559 entity
Predicate involvedUnit P1063 FINISHED
Object British 1st Infantry Division
The British 1st Infantry Division was a distinguished regular army formation of the British Army that saw extensive combat service in both World Wars, including major operations in North Africa and Italy.
E2115247 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: British 1st Infantry Division | Statement: [Operation Shingle, involvedUnit, British 1st Infantry Division]
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: British 1st Infantry Division
Triple: [Operation Shingle, involvedUnit, British 1st Infantry Division]
Generated description
The British 1st Infantry Division was a distinguished regular army formation of the British Army that saw extensive combat service in both World Wars, including major operations in North Africa and Italy.

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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78138fc0081908ae6f7e73c54e950 completed May 3, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3779561db0819083cfd87dae8f191d completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a377a18f8308190851b20da04cabc34 completed June 21, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_6a377af6ab048190b572cefa83ec6dda completed June 21, 2026, 5:47 a.m.
Created at: May 3, 2026, 4 p.m.