Triple

T30247441
Position Surface form Disambiguated ID Type / Status
Subject East–West maritime trade routes E769096 entity
Predicate historicallyLinkedTo P1451 FINISHED
Object Maritime Silk Road
The Maritime Silk Road was an ancient network of sea routes that facilitated extensive trade and cultural exchange between East Asia, Southeast Asia, the Indian subcontinent, the Middle East, and Europe.
E769096 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: Maritime Silk Road | Statement: [East–West maritime trade routes, historicallyLinkedTo, Maritime Silk Road]
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: Maritime Silk Road
Triple: [East–West maritime trade routes, historicallyLinkedTo, Maritime Silk Road]
Generated description
The Maritime Silk Road was an ancient network of sea routes that facilitated extensive trade and cultural exchange between East Asia, Southeast Asia, the Indian subcontinent, the Middle East, and Europe.

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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68076663c81909007e32c28266d12 completed May 2, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276453c8288190a50e7cb44ea63a0a completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a276541b1e08190bc9b9cb55f3743c7 completed June 9, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a27661767f081909e0291186c5d6778 completed June 9, 2026, 1:02 a.m.
Created at: April 29, 2026, 7:39 p.m.