Triple

T36017047
Position Surface form Disambiguated ID Type / Status
Subject Santiago (via Tiago) E1041871 entity
Predicate derivedFrom P909 FINISHED
Object Santiago
Santiago is the capital and largest city of Chile, known as the country’s political, cultural, and economic center nestled in a valley surrounded by the Andes and Chilean Coastal Range.
E2032 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: Santiago | Statement: [Santiago (via Tiago), derivedFrom, Santiago]
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: Santiago
Triple: [Santiago (via Tiago), derivedFrom, Santiago]
Generated description
Santiago is the capital and largest city of Chile, known as the country’s political, cultural, and economic center nestled in a valley surrounded by the Andes and Chilean Coastal Range.

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_69f76e2b981881908e4e160607fa82eb completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ace0a35c819087293a87666b9f07 completed May 3, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb87afa481908df6968f6982bfbf completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cc6481308190aeecc6bd2568377b completed June 22, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_6a38ccf8e8b48190ac2f931ffa6ff800 completed June 22, 2026, 5:49 a.m.
Created at: May 3, 2026, 4:07 p.m.