Triple

T27752132
Position Surface form Disambiguated ID Type / Status
Subject Bhatti Rajput rulers of Jaisalmer E701237 entity
Predicate tradePartners P28668 FINISHED
Object Gujarat ports
Gujarat ports are a network of historically significant maritime trade hubs along the western coast of India, facilitating extensive commercial exchange across the Arabian Sea.
E1786866 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: Gujarat ports | Statement: [Bhatti Rajput rulers of Jaisalmer, tradePartners, Gujarat ports]
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: Gujarat ports
Triple: [Bhatti Rajput rulers of Jaisalmer, tradePartners, Gujarat ports]
Generated description
Gujarat ports are a network of historically significant maritime trade hubs along the western coast of India, facilitating extensive commercial exchange across the Arabian Sea.

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_69ef6a5193808190816eb7d0020b2d87 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63720253c819089ddbecbcbe6401a completed May 2, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e48194ec8190b016736536274464 completed May 24, 2026, 11:44 a.m.
NEDg Description generation batch_6a12e53aea408190b4a87d3851aa1340 completed May 24, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5a642e4819095c21cfe6a85f12f completed May 24, 2026, 11:48 a.m.
Created at: April 27, 2026, 4:21 p.m.