Triple

T27923591
Position Surface form Disambiguated ID Type / Status
Subject Farm Lane Bridge (MSU) E706270 entity
Predicate ownedBy P347 FINISHED
Object Michigan State University
Michigan State University is a major public research university in East Lansing, Michigan, known for its large campus, strong academic programs, and membership in the Big Ten Conference.
E55193 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: Michigan State University | Statement: [Farm Lane Bridge (MSU), ownedBy, Michigan State University]
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: Michigan State University
Triple: [Farm Lane Bridge (MSU), ownedBy, Michigan State University]
Generated description
Michigan State University is a major public research university in East Lansing, Michigan, known for its large campus, strong academic programs, and membership in the Big Ten Conference.

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_69ef96b6cc808190aab19fb18b235f4b completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a5f5d7081908d2e1c1e802ade36 completed May 2, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1311527a748190bf0029f6ed830601 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a1311f106748190b256e38ceb2481f2 completed May 24, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_6a159f7e09a88190a7e25e30dfd87d3d completed May 26, 2026, 1:26 p.m.
Created at: April 27, 2026, 6:58 p.m.