Triple

T30828209
Position Surface form Disambiguated ID Type / Status
Subject Paw Paw, Michigan E785135 entity
Predicate hasTransportation P105 FINISHED
Object Michigan State Highway 51
Michigan State Highway 51 is a state trunkline route in southwestern Michigan that connects the village of Paw Paw to other regional highways and communities.
E2028193 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 Highway 51 | Statement: [Paw Paw, Michigan, hasTransportation, Michigan State Highway 51]
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 Highway 51
Triple: [Paw Paw, Michigan, hasTransportation, Michigan State Highway 51]
Generated description
Michigan State Highway 51 is a state trunkline route in southwestern Michigan that connects the village of Paw Paw to other regional highways and communities.

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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690f833808190b6a0811d27f7d279 completed May 3, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c65433148190b07b0cf3cb875fca completed June 19, 2026, 4:32 a.m.
NEDg Description generation batch_6a34c9a962448190bfa4247f93d00a55 completed June 19, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_6a34c9fda8748190b21212dcd4c54ba9 completed June 19, 2026, 4:47 a.m.
Created at: April 29, 2026, 8:44 p.m.