Triple

T24796893
Position Surface form Disambiguated ID Type / Status
Subject Obispo Santistevan Province E620407 entity
Predicate hasMunicipality P847 FINISHED
Object San Pedro Municipality
San Pedro Municipality is a local administrative division in Bolivia that forms part of the Obispo Santistevan Province in the Santa Cruz Department.
E1686553 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 Pedro Municipality | Statement: [Obispo Santistevan Province, hasMunicipality, San Pedro 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: San Pedro Municipality
Triple: [Obispo Santistevan Province, hasMunicipality, San Pedro Municipality]
Generated description
San Pedro Municipality is a local administrative division in Bolivia that forms part of the Obispo Santistevan Province in the Santa Cruz Department.

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_6a10b70379b08190ac4e95e049cbae39 completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b82504908190904c1ed84610e0c4 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b96903108190bd27481597bf46fa completed May 22, 2026, 8:15 p.m.
Created at: April 18, 2026, 4:48 a.m.