Triple

T26300176
Position Surface form Disambiguated ID Type / Status
Subject Convention of Gramido E661532 entity
Predicate alsoKnownAs P39 FINISHED
Object Convenção de Gramido
Convenção de Gramido was an 1847 peace agreement that ended the Patuleia civil war in Portugal by formalizing the surrender of the Septembrist forces to the government.
E1718743 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: Convenção de Gramido | Statement: [Convention of Gramido, alsoKnownAs, Convenção de Gramido]
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: Convenção de Gramido
Triple: [Convention of Gramido, alsoKnownAs, Convenção de Gramido]
Generated description
Convenção de Gramido was an 1847 peace agreement that ended the Patuleia civil war in Portugal by formalizing the surrender of the Septembrist forces to the government.

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_69ee812cd48c81908054068f545f0526 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60eb1ac9c8190a0b9193f4108dfbe completed May 2, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fcc655481908e000e22692e3441 completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a1190553ee08190bbf85d58b7ff8f44 completed May 23, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a1190c396848190b2b367df22d32e28 completed May 23, 2026, 11:34 a.m.
Created at: April 26, 2026, 10:15 p.m.