Triple

T27510380
Position Surface form Disambiguated ID Type / Status
Subject Central Facility E694391 entity
Predicate alternativeName P39 FINISHED
Object Central Prison Facility
Central Prison Facility is a secure correctional institution designed to confine and manage individuals serving criminal sentences under a centralized prison system.
 E1775886 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: Central Prison Facility | Statement: [Central Facility, alternativeName, Central Prison Facility]
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: Central Prison Facility
Triple: [Central Facility, alternativeName, Central Prison Facility]
Generated description
Central Prison Facility is a secure correctional institution designed to confine and manage individuals serving criminal sentences under a centralized prison system.

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_69ef53842afc8190ba6bd4e4999bda67 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62ef858008190bda723fb47853dce completed May 2, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbfd5f94819097979c3c041f3c18 completed May 24, 2026, 8:51 a.m.
NEDg Description generation batch_6a12bd205e9c81908e89639719aa4ac2 completed May 24, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_6a12bdc819e4819090b6ecae640773ab completed May 24, 2026, 8:58 a.m.
Created at: April 27, 2026, 1:15 p.m.