Triple

T29586955
Position Surface form Disambiguated ID Type / Status
Subject Paris Fire Brigade E754044 entity
Predicate isSimilarTo P278 FINISHED
Object Marseille Naval Fire Battalion
The Marseille Naval Fire Battalion is a specialized French military firefighting and rescue unit responsible for protecting the city and port of Marseille, including its maritime and industrial facilities.
 E1874660 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: Marseille Naval Fire Battalion | Statement: [Paris Fire Brigade, isSimilarTo, Marseille Naval Fire Battalion]
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: Marseille Naval Fire Battalion
Triple: [Paris Fire Brigade, isSimilarTo, Marseille Naval Fire Battalion]
Generated description
The Marseille Naval Fire Battalion is a specialized French military firefighting and rescue unit responsible for protecting the city and port of Marseille, including its maritime and industrial facilities.

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_69f0ef836ac88190bd809dc58b5ec907 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66d7f46c481908cab81ff3be2b98b completed May 2, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d7874188190ac022c69269d24d6 completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a263292569881909ece1e0bb502af53 completed June 8, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_6a263708ace081909523e987b89aad34 completed June 8, 2026, 3:29 a.m.
Created at: April 28, 2026, 6:11 p.m.