Triple

T36775028
Position Surface form Disambiguated ID Type / Status
Subject Santa Elena E908591 entity
Predicate governingBody P46 FINISHED
Object Municipality of Santa Elena
The Municipality of Santa Elena is the local government authority responsible for administering public services, development, and regulations within the jurisdiction of Santa Elena.
E2199348 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 Elena | Statement: [Santa Elena, governingBody, Municipality of Santa Elena]
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 Elena
Triple: [Santa Elena, governingBody, Municipality of Santa Elena]
Generated description
The Municipality of Santa Elena is the local government authority responsible for administering public services, development, and regulations within the jurisdiction of Santa Elena.

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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9bd928081908734f5baece516bb completed May 3, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d179bd4cc81908a0039e4b3bfbe25 completed June 25, 2026, 11:57 a.m.
NEDg Description generation batch_6a3d227fc2108190a2849f1ed1e63e23 completed June 25, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a3d70fdbcc4819096a3dddae4414986 completed June 25, 2026, 6:18 p.m.
Created at: May 3, 2026, 4:12 p.m.