Triple

T27225268
Position Surface form Disambiguated ID Type / Status
Subject Celina Independent School District E681392 entity
Predicate hasElementarySchool P113 FINISHED
Object Celina Elementary School
Celina Elementary School is a public primary school in Celina, Texas, serving early-grade students as part of the Celina Independent School District.
E1767607 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: Celina Elementary School | Statement: [Celina Independent School District, hasElementarySchool, Celina Elementary School]
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: Celina Elementary School
Triple: [Celina Independent School District, hasElementarySchool, Celina Elementary School]
Generated description
Celina Elementary School is a public primary school in Celina, Texas, serving early-grade students as part of the Celina Independent School District.

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_69eefac9f64c8190a07490fe0c8b72a3 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6264a03648190a9b6904ce2f7aeeb completed May 2, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c97beac8190839087f46610a6b5 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129ddafd888190a98657a4d9046d5c completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e5f7e348190af4a279de8ef8caa completed May 24, 2026, 6:44 a.m.
Created at: April 27, 2026, 9:44 a.m.