Triple

T21290577
Position Surface form Disambiguated ID Type / Status
Subject Interstate 865 E524775 entity
Predicate previousRoute P18010 FINISHED
Object Interstate 864
Interstate 864 is a former auxiliary Interstate Highway designation that was planned but never fully realized or is no longer in active use within the U.S. Interstate system.
E2287240 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: Interstate 864 | Statement: [Interstate 865, previousRoute, Interstate 864]
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: Interstate 864
Triple: [Interstate 865, previousRoute, Interstate 864]
Generated description
Interstate 864 is a former auxiliary Interstate Highway designation that was planned but never fully realized or is no longer in active use within the U.S. Interstate system.

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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4772cd44e48190852fe80ae95cf978 completed July 3, 2026, 8:29 a.m.
NEDg Description generation batch_6a47745193708190a0eb5004fbfb4f73 completed July 3, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a4776fdfba8819089631b6b366b818e completed July 3, 2026, 8:46 a.m.
Created at: April 16, 2026, 4:04 p.m.