Triple

T36300447
Position Surface form Disambiguated ID Type / Status
Subject Lenape Regional High School District E893494 entity
Predicate operates P24 FINISHED
Object Seneca High School
Seneca High School is a public secondary school in New Jersey that serves students in grades 9–12 as part of the Lenape Regional High School District.
E2178422 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: Seneca High School | Statement: [Lenape Regional High School District, operates, Seneca High 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: Seneca High School
Triple: [Lenape Regional High School District, operates, Seneca High School]
Generated description
Seneca High School is a public secondary school in New Jersey that serves students in grades 9–12 as part of the Lenape Regional High 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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba02aa8c8190a9a2150fb9214342 completed May 3, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d802d948190b95f4d1aff327290 completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a3982c390f081908fa6f1e205358ca1 completed June 22, 2026, 6:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3983802c3c81908b0cd37ce3a04f53 completed June 22, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:09 p.m.