Triple

T31787380
Position Surface form Disambiguated ID Type / Status
Subject Argentine Coast Guard vessels E811367 entity
Predicate operatedByBranch P13713 FINISHED
Object Servicio de Buques Guardacostas
Servicio de Buques Guardacostas is the Argentine Coast Guard’s dedicated service responsible for operating and managing its fleet of patrol and support vessels.
E1978724 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: Servicio de Buques Guardacostas | Statement: [Argentine Coast Guard vessels, operatedByBranch, Servicio de Buques Guardacostas]
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: Servicio de Buques Guardacostas
Triple: [Argentine Coast Guard vessels, operatedByBranch, Servicio de Buques Guardacostas]
Generated description
Servicio de Buques Guardacostas is the Argentine Coast Guard’s dedicated service responsible for operating and managing its fleet of patrol and support vessels.

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_69f348e60748819082dcaa7792659803 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ac16ae288190912a7c82fef90dac completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d5c91408190bc346b81942061b3 completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2d9e0b70308190b161562b869262be completed June 13, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2da269745c81908e5b582ba3b765c7 completed June 13, 2026, 6:33 p.m.
Created at: April 30, 2026, 11:38 p.m.