Triple

T25118999
Position Surface form Disambiguated ID Type / Status
Subject San Ignacio de Velasco Municipality E629216 entity
Predicate capital P234 FINISHED
Object San Ignacio de Velasco
San Ignacio de Velasco is a town in eastern Bolivia known as a regional center in the Chiquitania area, noted for its Jesuit mission heritage and colonial-era architecture.
E1680375 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: San Ignacio de Velasco | Statement: [San Ignacio de Velasco Municipality, capital, San Ignacio de Velasco]
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: San Ignacio de Velasco
Triple: [San Ignacio de Velasco Municipality, capital, San Ignacio de Velasco]
Generated description
San Ignacio de Velasco is a town in eastern Bolivia known as a regional center in the Chiquitania area, noted for its Jesuit mission heritage and colonial-era architecture.

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_69e2ff3288048190bd82c3b7f7bd0e62 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465c9bad88190b1488ada06e9b51b completed May 1, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108960d0488190957e380f36a95dc8 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108b354e148190abe0738535723e38 completed May 22, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_6a108bc789948190bca50782a54091f8 completed May 22, 2026, 5 p.m.
Created at: April 18, 2026, 6:27 a.m.