Triple

T38116699
Position Surface form Disambiguated ID Type / Status
Subject Piracicaba River E951808 entity
Predicate flowsThrough P225 FINISHED
Object Municipality of Santa Bárbara d’Oeste
The Municipality of Santa Bárbara d’Oeste is a city in the state of São Paulo, Brazil, known for its industrial economy and historical ties to 19th-century American Confederate immigration.
E2258179 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: Municipality of Santa Bárbara d’Oeste | Statement: [Piracicaba River, flowsThrough, Municipality of Santa Bárbara d’Oeste]
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: Municipality of Santa Bárbara d’Oeste
Triple: [Piracicaba River, flowsThrough, Municipality of Santa Bárbara d’Oeste]
Generated description
The Municipality of Santa Bárbara d’Oeste is a city in the state of São Paulo, Brazil, known for its industrial economy and historical ties to 19th-century American Confederate immigration.

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_69f76f07734c8190814e937e12257a78 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc45c4e6d48190b871108ef061f1f7 completed May 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41711d7c508190856707ffebc58625 completed June 28, 2026, 7:08 p.m.
NEDg Description generation batch_6a4172291ffc8190a67594e8b2cb42e0 completed June 28, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_6a4172cc0a288190a82f0f22593f5861 completed June 28, 2026, 7:15 p.m.
Created at: May 3, 2026, 4:21 p.m.