Triple

T27411455
Position Surface form Disambiguated ID Type / Status
Subject Gurupura River E692160 entity
Predicate hasBridge P386 FINISHED
Object Kulur Bridge
Kulur Bridge is a road bridge in Mangaluru, India, that spans the Gurupura River and serves as an important link on National Highway 66.
 E1782456 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: Kulur Bridge | Statement: [Gurupura River, hasBridge, Kulur Bridge]
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: Kulur Bridge
Triple: [Gurupura River, hasBridge, Kulur Bridge]
Generated description
Kulur Bridge is a road bridge in Mangaluru, India, that spans the Gurupura River and serves as an important link on National Highway 66.

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_69ef5205fc808190ad3efc5525b8e6d6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cda84c48190bfd814c4ae7a9c60 completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da6fc828819084579ec0a26609a2 completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12db41934c8190b860473fb4b6c979 completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12dbcfd4588190a6b414466e5bc7cb completed May 24, 2026, 11:06 a.m.
Created at: April 27, 2026, 12:32 p.m.