Triple

T24494682
Position Surface form Disambiguated ID Type / Status
Subject Marshfield Public Schools E617750 entity
Predicate hasSchool P113 FINISHED
Object Daniel Webster Elementary School
Daniel Webster Elementary School is a public elementary school in Marshfield, Massachusetts, serving young students as part of the Marshfield Public Schools district.
E1643048 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: Daniel Webster Elementary School | Statement: [Marshfield Public Schools, hasSchool, Daniel Webster 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: Daniel Webster Elementary School
Triple: [Marshfield Public Schools, hasSchool, Daniel Webster Elementary School]
Generated description
Daniel Webster Elementary School is a public elementary school in Marshfield, Massachusetts, serving young students as part of the Marshfield Public Schools 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a7f83f9c819088da773831dcb40a completed April 30, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff851804c8190b9883806e071a8dd completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ffb15320c8190b35a312538c8961d completed May 22, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffb703c588190bcb839d92fc75109 completed May 22, 2026, 6:45 a.m.
Created at: April 18, 2026, 2:22 a.m.