Triple

T24796890
Position Surface form Disambiguated ID Type / Status
Subject Obispo Santistevan Province E620407 entity
Predicate hasMunicipality P847 FINISHED
Object General Saavedra Municipality
General Saavedra Municipality is an administrative municipality located within Obispo Santistevan Province in the Santa Cruz Department of Bolivia.
E1650965 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: General Saavedra Municipality | Statement: [Obispo Santistevan Province, hasMunicipality, General Saavedra Municipality]
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: General Saavedra Municipality
Triple: [Obispo Santistevan Province, hasMunicipality, General Saavedra Municipality]
Generated description
General Saavedra Municipality is an administrative municipality located within Obispo Santistevan Province in the Santa Cruz Department of Bolivia.

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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f412a660648190a343347e6ff36ea5 completed May 1, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c2f6c708190a97a0fa1cf265cde completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10248751648190aabfa72ad8ab0b3f completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a102586c1288190bf8eeb513537b189 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 4:48 a.m.