Triple

T29627494
Position Surface form Disambiguated ID Type / Status
Subject Embassy of France in Spain E755182 entity
Predicate symbol P129 FINISHED
Object Coat of arms of France
The Coat of arms of France is the national emblem featuring symbols such as the fleur-de-lis and other heraldic elements that represent the French state and its historical monarchy and republic.
E347248 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: Coat of arms of France | Statement: [Embassy of France in Spain, symbol, Coat of arms of France]
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: Coat of arms of France
Triple: [Embassy of France in Spain, symbol, Coat of arms of France]
Generated description
The Coat of arms of France is the national emblem featuring symbols such as the fleur-de-lis and other heraldic elements that represent the French state and its historical monarchy and republic.

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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66e61866881908f1497a7ceb782bc completed May 2, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26617263bc8190af48491a1001deb3 completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a26656a3cdc81908287a8a2145d6cc6 completed June 8, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a266a6610e88190801c2b1101259b84 completed June 8, 2026, 7:08 a.m.
Created at: April 28, 2026, 6:38 p.m.