Triple

T32927167
Position Surface form Disambiguated ID Type / Status
Subject Walloon Movement E842302 entity
Predicate opposes P437 FINISHED
Object Belgian unitary state
The Belgian unitary state was the former centralized political structure of Belgium in which most powers were held by the national government rather than by regions or communities.
 E2028026 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: Belgian unitary state | Statement: [Walloon Movement, opposes, Belgian unitary state]
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: Belgian unitary state
Triple: [Walloon Movement, opposes, Belgian unitary state]
Generated description
The Belgian unitary state was the former centralized political structure of Belgium in which most powers were held by the national government rather than by regions or communities.

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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0db14cc81908d797b77e4ebe169 completed May 3, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c6a6960c8190a5e1183cf193efa7 completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c85cab748190abd850dca56c39ac completed June 19, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_6a34c93dd1d48190b67b29c885246998 completed June 19, 2026, 4:44 a.m.
Created at: May 1, 2026, 1:20 a.m.