Triple

T30251818
Position Surface form Disambiguated ID Type / Status
Subject Greencastle-Antrim School District E769223 entity
Predicate governs P760 FINISHED
Object Greencastle-Antrim Elementary School
Greencastle-Antrim Elementary School is a public primary school serving early-grade students in the Greencastle-Antrim area of Pennsylvania.
E1911236 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: Greencastle-Antrim Elementary School | Statement: [Greencastle-Antrim School District, governs, Greencastle-Antrim 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: Greencastle-Antrim Elementary School
Triple: [Greencastle-Antrim School District, governs, Greencastle-Antrim Elementary School]
Generated description
Greencastle-Antrim Elementary School is a public primary school serving early-grade students in the Greencastle-Antrim area of Pennsylvania.

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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6807c31608190b1c5831c6035dba4 completed May 2, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c04b9748190bac9bfc674fa33fc completed June 9, 2026, 2:35 a.m.
NEDg Description generation batch_6a277e26c96881908d656cdef488ee7b completed June 9, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_6a277ee0effc81909e65c4d7413d50c6 completed June 9, 2026, 2:48 a.m.
Created at: April 29, 2026, 7:40 p.m.