Triple

T28758070
Position Surface form Disambiguated ID Type / Status
Subject Sibundoy E731726 entity
Predicate hasIndigenousReserveNearby P70644 FINISHED
Object Inga indigenous reserve
The Inga indigenous reserve is a protected territory in Colombia inhabited by the Inga people, who preserve their Quechua-based language, traditional medicine, and Amazon-Andean cultural heritage.
E1833622 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: Inga indigenous reserve | Statement: [Sibundoy, hasIndigenousReserveNearby, Inga indigenous reserve]
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: Inga indigenous reserve
Triple: [Sibundoy, hasIndigenousReserveNearby, Inga indigenous reserve]
Generated description
The Inga indigenous reserve is a protected territory in Colombia inhabited by the Inga people, who preserve their Quechua-based language, traditional medicine, and Amazon-Andean cultural heritage.

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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fdf64ecae881909b96c82c4e0c46d4 completed May 8, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a258aedc8190a186e66ec1ab96ce completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a667d6d08190917858826b13e134 completed June 6, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a24aaa014a081908831ccb241673fae completed June 6, 2026, 11:17 p.m.
Created at: April 28, 2026, 6:10 a.m.