Triple

T37906449
Position Surface form Disambiguated ID Type / Status
Subject Spanish Frontier World E945565 entity
Predicate hasKeyRegion P10082 FINISHED
Object La Plata borderlands
La Plata borderlands were a contested frontier region of the Spanish Empire in South America, marked by shifting colonial control, indigenous resistance, and evolving cultural and economic exchanges.
E1723247 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: La Plata borderlands | Statement: [Spanish Frontier World, hasKeyRegion, La Plata borderlands]
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: La Plata borderlands
Triple: [Spanish Frontier World, hasKeyRegion, La Plata borderlands]
Generated description
La Plata borderlands were a contested frontier region of the Spanish Empire in South America, marked by shifting colonial control, indigenous resistance, and evolving cultural and economic exchanges.

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_69f76ef20bb0819088b5b6ceecb0b8fc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd59e7fc819098ddb75d157fd887 completed May 6, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cc8b0048190ab034aeb96049d73 completed June 28, 2026, noon
NEDg Description generation batch_6a410d70ba0c8190bdcab9e762c92884 completed June 28, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a410e3dd828819099fc3a413bcfbeb9 completed June 28, 2026, 12:06 p.m.
Created at: May 3, 2026, 4:20 p.m.