Triple

T31700233
Position Surface form Disambiguated ID Type / Status
Subject Pacific trade routes E809035 entity
Predicate includesCorridor P5520 FINISHED
Object Asia–North America eastbound lane
The Asia–North America eastbound lane is a major trans-Pacific shipping corridor used by vessels transporting goods from Asian ports to the west coast of North America.
 E1973480 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: Asia–North America eastbound lane | Statement: [Pacific trade routes, includesCorridor, Asia–North America eastbound lane]
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: Asia–North America eastbound lane
Triple: [Pacific trade routes, includesCorridor, Asia–North America eastbound lane]
Generated description
The Asia–North America eastbound lane is a major trans-Pacific shipping corridor used by vessels transporting goods from Asian ports to the west coast of North America.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaa852dc8190ae68dc46f25fb23e completed May 3, 2026, 1:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84c9fea48190bcdc6472b698b1d0 completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b8590d4f48190b126ede3e93631b9 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b85fe65348190801652c66bb72cf9 completed June 12, 2026, 4:07 a.m.
Created at: April 30, 2026, 11:11 p.m.