Triple

T30842205
Position Surface form Disambiguated ID Type / Status
Subject Cambridge research centres E785541 entity
Predicate hasMember P10 FINISHED
Object Cambridge Conservation Initiative
The Cambridge Conservation Initiative is a collaborative partnership of leading conservation organizations and the University of Cambridge focused on protecting biodiversity and advancing conservation science and policy worldwide.
 E1933597 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: Cambridge Conservation Initiative | Statement: [Cambridge research centres, hasMember, Cambridge Conservation Initiative]
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: Cambridge Conservation Initiative
Triple: [Cambridge research centres, hasMember, Cambridge Conservation Initiative]
Generated description
The Cambridge Conservation Initiative is a collaborative partnership of leading conservation organizations and the University of Cambridge focused on protecting biodiversity and advancing conservation science and policy worldwide.

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_69f224b850848190a4af4ccf8ddadcdf completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691443b108190acb7823c16ace379 completed May 3, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbf4e3e081908eb74bac55d221ab completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bd3f31d0819099e84d838827c47d completed June 10, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd9d23e48190bcd8bcf57d7d72e8 completed June 10, 2026, 1:27 a.m.
Created at: April 29, 2026, 8:45 p.m.