Triple

T25439202
Position Surface form Disambiguated ID Type / Status
Subject East Indian Railway Company E637454 entity
Predicate partOf P40 FINISHED
Object British Indian railway system
The British Indian railway system was the extensive network of railways developed across colonial India that transformed transportation, trade, and administration under British rule.
E1681599 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: British Indian railway system | Statement: [East Indian Railway Company, partOf, British Indian railway system]
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: British Indian railway system
Triple: [East Indian Railway Company, partOf, British Indian railway system]
Generated description
The British Indian railway system was the extensive network of railways developed across colonial India that transformed transportation, trade, and administration under British rule.

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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6e438748190a30d9dabad4df46e completed May 2, 2026, 1:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089a6e22c8190b5e7fdef343be2c0 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a109013dae8819096f6c23fd70dbe49 completed May 22, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a10989a11a88190b60f53a00f25a395 completed May 22, 2026, 5:55 p.m.
Created at: April 21, 2026, 2 p.m.