Triple

T37116623
Position Surface form Disambiguated ID Type / Status
Subject Bhusawal Division E919133 entity
Predicate hasImportantRoute P13417 FINISHED
Object Bhusawal–Surat section
The Bhusawal–Surat section is a key railway line in western India that connects Bhusawal in Maharashtra with Surat in Gujarat, serving as an important corridor for both passenger and freight traffic.
 E2217069 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: Bhusawal–Surat section | Statement: [Bhusawal Division, hasImportantRoute, Bhusawal–Surat section]
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: Bhusawal–Surat section
Triple: [Bhusawal Division, hasImportantRoute, Bhusawal–Surat section]
Generated description
The Bhusawal–Surat section is a key railway line in western India that connects Bhusawal in Maharashtra with Surat in Gujarat, serving as an important corridor for both passenger and freight traffic.

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_69f76e9c57148190ba789dd059645bb9 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb30160ed8819094c206789b5d8eee completed May 6, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a403603b4808190b0ea8cf6c60e0146 completed June 27, 2026, 8:43 p.m.
NEDg Description generation batch_6a4036aa606081908c37cae19a44be22 completed June 27, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a4038210f388190a2546f1de996a3db completed June 27, 2026, 8:52 p.m.
Created at: May 3, 2026, 4:15 p.m.