Triple

T24196335
Position Surface form Disambiguated ID Type / Status
Subject Cambodian genocide E599844 entity
Predicate legalRecognition P702 FINISHED
Object United Nations-backed tribunals
United Nations-backed tribunals are international or hybrid courts established with UN support to prosecute individuals responsible for serious crimes under international law, such as genocide, war crimes, and crimes against humanity.
E1623004 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: United Nations-backed tribunals | Statement: [Cambodian genocide, legalRecognition, United Nations-backed tribunals]
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: United Nations-backed tribunals
Triple: [Cambodian genocide, legalRecognition, United Nations-backed tribunals]
Generated description
United Nations-backed tribunals are international or hybrid courts established with UN support to prosecute individuals responsible for serious crimes under international law, such as genocide, war crimes, and crimes against humanity.

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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e24ad83c819084ac9e34d2cc2120 completed April 29, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd1180688190a8810bc16ae55c92 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbdb2afb8819080b49191b6369ec5 completed May 22, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbe652bbc81909577b475cfe54d36 completed May 22, 2026, 2:24 a.m.
Created at: April 17, 2026, 11:36 p.m.