Triple

T26578028
Position Surface form Disambiguated ID Type / Status
Subject Farmingdale Union Free School District E666998 entity
Predicate operates P24 FINISHED
Object Farmingdale High School
Farmingdale High School is a public secondary school in Farmingdale, New York, serving as the main high school for students in the surrounding community.
E1730568 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: Farmingdale High School | Statement: [Farmingdale Union Free School District, operates, Farmingdale 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: Farmingdale High School
Triple: [Farmingdale Union Free School District, operates, Farmingdale High School]
Generated description
Farmingdale High School is a public secondary school in Farmingdale, New York, serving as the main high school for students in the surrounding community.

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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614df3f488190801b6fc8ccbfed7f completed May 2, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c830efd08190923caad6b2fff2b7 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11c8bf3ee08190964adc437235340b completed May 23, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a11c981c70c8190bfe0da42958fa494 completed May 23, 2026, 3:36 p.m.
Created at: April 27, 2026, 2:01 a.m.