Triple

T29940730
Position Surface form Disambiguated ID Type / Status
Subject Chilean universities E760488 entity
Predicate someAreMemberOf P151560 FINISHED
Object Chilean state universities network
The Chilean state universities network is a consortium of public higher education institutions in Chile that coordinates academic, research, and policy efforts among its member universities.
 E1894337 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: Chilean state universities network | Statement: [Chilean universities, someAreMemberOf, Chilean state universities network]
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: Chilean state universities network
Triple: [Chilean universities, someAreMemberOf, Chilean state universities network]
Generated description
The Chilean state universities network is a consortium of public higher education institutions in Chile that coordinates academic, research, and policy efforts among its member universities.

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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f678066d24819099ae7947cfb58743 completed May 2, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721ebb064819094b1a53f04480290 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a2723c8705c819094334fcbfb95fa63 completed June 8, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a2724cb1d48819088149a586c3c2ae6 completed June 8, 2026, 8:23 p.m.
Created at: April 29, 2026, 6:22 p.m.