Triple

T26434747
Position Surface form Disambiguated ID Type / Status
Subject Illinois Route 16 E664609 entity
Predicate hasJunctionWith P1018 FINISHED
Object Illinois Route 32
Illinois Route 32 is a north–south state highway in central Illinois that connects several rural communities and intersects multiple major routes.
 E1799913 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: Illinois Route 32 | Statement: [Illinois Route 16, hasJunctionWith, Illinois Route 32]
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: Illinois Route 32
Triple: [Illinois Route 16, hasJunctionWith, Illinois Route 32]
Generated description
Illinois Route 32 is a north–south state highway in central Illinois that connects several rural communities and intersects multiple major routes.

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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61210575c8190b84b012054b6f26d completed May 2, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b86653348190b8b883db2060a976 completed May 26, 2026, 3:12 p.m.
NEDg Description generation batch_6a15bca032408190a0f3fbee5e29cbf8 completed May 26, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a15bd0bb30c8190b4cce0b94f4efcac completed May 26, 2026, 3:32 p.m.
Created at: April 26, 2026, 11:52 p.m.