Triple

T29125699
Position Surface form Disambiguated ID Type / Status
Subject Warangal railway station E738220 entity
Predicate railwayLine P848 FINISHED
Object Hyderabad–Vijayawada line
The Hyderabad–Vijayawada line is a major railway route in the Indian state of Telangana and Andhra Pradesh that connects the metropolitan city of Hyderabad with the important commercial hub of Vijayawada.
 E1853762 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: Hyderabad–Vijayawada line | Statement: [Warangal railway station, railwayLine, Hyderabad–Vijayawada line]
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: Hyderabad–Vijayawada line
Triple: [Warangal railway station, railwayLine, Hyderabad–Vijayawada line]
Generated description
The Hyderabad–Vijayawada line is a major railway route in the Indian state of Telangana and Andhra Pradesh that connects the metropolitan city of Hyderabad with the important commercial hub of Vijayawada.

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_69f07cb29cdc8190afa55444553de60c completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6622916088190a3cd63ade671d3ad completed May 2, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2550565f4081908d73740f8dd8d746 completed June 7, 2026, 11:04 a.m.
NEDg Description generation batch_6a25547c1cb881909b0a85b2bb6d61f1 completed June 7, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a2558d511dc81909587cbd426bda0b6 completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 11:28 a.m.