Triple

T15329316
Position Surface form Disambiguated ID Type / Status
Subject Southern Idaho E366490 entity
Predicate hasTransportationCorridor P3034 FINISHED
Object Interstate 86
Interstate 86 is a U.S. Interstate Highway in southern Idaho that serves as an important east–west route connecting Interstate 84 with Pocatello and other regional destinations.
 E2000581 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 86 | Statement: [Southern Idaho, hasTransportationCorridor, Interstate 86]
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 86
Triple: [Southern Idaho, hasTransportationCorridor, Interstate 86]
Generated description
Interstate 86 is a U.S. Interstate Highway in southern Idaho that serves as an important east–west route connecting Interstate 84 with Pocatello and other regional destinations.

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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46a8dcf88190b7332a3292fcd458 completed June 15, 2026, 12:26 a.m.
NEDg Description generation batch_6a2f47826e888190bf53625d64da61a8 completed June 15, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a301ae519348190a8563be3d2c124d0 completed June 15, 2026, 3:31 p.m.
Created at: April 10, 2026, 3:16 a.m.