Triple

T29545527
Position Surface form Disambiguated ID Type / Status
Subject Australian Imperial Force E749619 entity
Predicate notableBattle P259 FINISHED
Object Battle of Bullecourt
The Battle of Bullecourt was a costly First World War engagement on the Western Front in 1917, where Australian and British forces attacked heavily fortified German positions as part of the larger Arras offensive.
E1875799 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: Battle of Bullecourt | Statement: [Australian Imperial Force, notableBattle, Battle of Bullecourt]
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: Battle of Bullecourt
Triple: [Australian Imperial Force, notableBattle, Battle of Bullecourt]
Generated description
The Battle of Bullecourt was a costly First World War engagement on the Western Front in 1917, where Australian and British forces attacked heavily fortified German positions as part of the larger Arras offensive.

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_69f0bd48691081908cecad39bac591e0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66cf25fa88190a158d58d32872c01 completed May 2, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a266156aca88190bf08db38e23c3b66 completed June 8, 2026, 6:29 a.m.
NEDg Description generation batch_6a2665b107d48190af6ed8efb30d61d7 completed June 8, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_6a266a4b72048190966d23bf400a578f completed June 8, 2026, 7:07 a.m.
Created at: April 28, 2026, 5:07 p.m.