Triple

T31800114
Position Surface form Disambiguated ID Type / Status
Subject SR 65 E811709 entity
Predicate connectedTo P37 FINISHED
Object State Route 137
State Route 137 is a state highway that serves as a regional connector route, linking local communities and major roads in its area.
 E2295823 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: State Route 137 | Statement: [SR 65, connectedTo, State Route 137]
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: State Route 137
Triple: [SR 65, connectedTo, State Route 137]
Generated description
State Route 137 is a state highway that serves as a regional connector route, linking local communities and major roads in its area.

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_69f348e70d188190b4637c5509f81274 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6acaa8c248190b4178ecc049a0f47 completed May 3, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a81fadc9570819082575d8ed6c92fb1 completed Aug. 16, 2026, 6:01 p.m.
NEDg Description generation batch_6a81fb373fa08190b92de8beb0d189c1 completed Aug. 16, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a81fb8a3dc48190b3f66fd6be7b14fa completed Aug. 16, 2026, 6:03 p.m.
Created at: April 30, 2026, 11:41 p.m.