Triple

T30861113
Position Surface form Disambiguated ID Type / Status
Subject Western Front of World War II E786061 entity
Predicate hasPart P35 FINISHED
Object Channel Front
The Channel Front was the World War II theater of operations along the English Channel, marked by air and naval clashes between Allied and German forces over control of this strategic waterway.
E14031 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: Channel Front | Statement: [Western Front of World War II, hasPart, Channel Front]
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: Channel Front
Triple: [Western Front of World War II, hasPart, Channel Front]
Generated description
The Channel Front was the World War II theater of operations along the English Channel, marked by air and naval clashes between Allied and German forces over control of this strategic waterway.

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_69f224b91c14819084e764832fe67a57 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691a85ac8819089cb789e634af1f2 completed May 3, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7d44f248190be392500f35013ca completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28d79e0f4c81908edfb7f88e6e0f04 completed June 10, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a28d81535508190b99af1cc085f0883 completed June 10, 2026, 3:20 a.m.
Created at: April 29, 2026, 8:47 p.m.