Triple

T30620788
Position Surface form Disambiguated ID Type / Status
Subject UCAS E779437 entity
Predicate predecessor P97 FINISHED
Object Polytechnics Central Admissions System
The Polytechnics Central Admissions System was the centralized UK application service that coordinated student admissions specifically to polytechnics and some higher education institutions before their integration into the unified UCAS system.
E1923971 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: Polytechnics Central Admissions System | Statement: [UCAS, predecessor, Polytechnics Central Admissions System]
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: Polytechnics Central Admissions System
Triple: [UCAS, predecessor, Polytechnics Central Admissions System]
Generated description
The Polytechnics Central Admissions System was the centralized UK application service that coordinated student admissions specifically to polytechnics and some higher education institutions before their integration into the unified UCAS 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_69f224a3307081909a6dca8ca75dbf48 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f689ee11988190a25cbd9b9fad6ec3 completed May 2, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863e5d4c481908d1927b0df63eb72 completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a28649cba348190b61d110cbbc16abd completed June 9, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_6a28653331c08190b467fba620124049 completed June 9, 2026, 7:10 p.m.
Created at: April 29, 2026, 8:27 p.m.