Triple

T24754184
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Bocoyna E619232 entity
Predicate roadAccessVia P9041 FINISHED
Object Mexican Federal Highway 16
Mexican Federal Highway 16 is a major east–west roadway in northern Mexico that traverses the Sierra Madre Occidental, connecting key cities and rural municipalities across several states.
 E1662324 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: Mexican Federal Highway 16 | Statement: [Municipality of Bocoyna, roadAccessVia, Mexican Federal Highway 16]
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: Mexican Federal Highway 16
Triple: [Municipality of Bocoyna, roadAccessVia, Mexican Federal Highway 16]
Generated description
Mexican Federal Highway 16 is a major east–west roadway in northern Mexico that traverses the Sierra Madre Occidental, connecting key cities and rural municipalities across several states.

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_69e2fabb349881908a13a212a0221a63 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f41076f6a88190a57f38685e0938df completed May 1, 2026, 2:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a104880bb708190a5ecfbecc977f494 completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a10496ad0748190b797fea89fc9472d completed May 22, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a104bc667e48190bb0feadc5b324cde completed May 22, 2026, 12:27 p.m.
Created at: April 18, 2026, 4:25 a.m.