Triple

T29305418
Position Surface form Disambiguated ID Type / Status
Subject Greenville, North Carolina E743078 entity
Predicate hasHigherEducationInstitution P113 FINISHED
Object Pitt Community College
Pitt Community College is a public two-year community college serving Pitt County and the surrounding region in eastern North Carolina.
E1860663 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: Pitt Community College | Statement: [Greenville, North Carolina, hasHigherEducationInstitution, Pitt Community College]
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: Pitt Community College
Triple: [Greenville, North Carolina, hasHigherEducationInstitution, Pitt Community College]
Generated description
Pitt Community College is a public two-year community college serving Pitt County and the surrounding region in eastern North Carolina.

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_69f09123ed9881909f351f7541933f5e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665a631948190bb1a8cbb5df633ae completed May 2, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a8632a7081909d0a77b954c69a87 completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25ad7a279081908de3f7314c3d9219 completed June 7, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a25ae50c19c8190a136284303fde76b completed June 7, 2026, 5:45 p.m.
Created at: April 28, 2026, 1:13 p.m.