Triple

T21521652
Position Surface form Disambiguated ID Type / Status
Subject Batán Grande E530989 entity
Predicate near P350 FINISHED
Object La Leche River
La Leche River is a river in northern Peru that flows through the Lambayeque region, supporting agriculture and archaeological sites before emptying into the Pacific Ocean.
 E2283284 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 Leche River | Statement: [Batán Grande, near, La Leche River]
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 Leche River
Triple: [Batán Grande, near, La Leche River]
Generated description
La Leche River is a river in northern Peru that flows through the Lambayeque region, supporting agriculture and archaeological sites before emptying into the Pacific Ocean.

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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884cff5881908d93a54578e7b1b0 completed April 26, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4249fe919c8190bbc04b96f01ec632 completed June 29, 2026, 10:33 a.m.
NEDg Description generation batch_6a424a8948608190b4607a67466c8372 completed June 29, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_6a424b5e8e9c8190818d0ef2f3f43398 completed June 29, 2026, 10:39 a.m.
Created at: April 16, 2026, 6:26 p.m.