Triple

T33160670
Position Surface form Disambiguated ID Type / Status
Subject Guntakal E848722 entity
Predicate connectedByRailTo P848 FINISHED
Object Guntakal–Renigunta section
The Guntakal–Renigunta section is a key railway line in the Indian state of Andhra Pradesh that links the important junctions of Guntakal and Renigunta, facilitating regional and long-distance train connectivity.
 E2042704 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: Guntakal–Renigunta section | Statement: [Guntakal, connectedByRailTo, Guntakal–Renigunta 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: Guntakal–Renigunta section
Triple: [Guntakal, connectedByRailTo, Guntakal–Renigunta section]
Generated description
The Guntakal–Renigunta section is a key railway line in the Indian state of Andhra Pradesh that links the important junctions of Guntakal and Renigunta, facilitating regional and long-distance train connectivity.

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_69f3495b02d08190bb3d366823dffc21 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d8f8b2f0819082f98259f7178a03 completed May 3, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3538fdb514819089bcf6e2ca33bd90 completed June 19, 2026, 12:41 p.m.
NEDg Description generation batch_6a353977b4b48190892bfcc064163635 completed June 19, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a3539ff8c8c8190b93cfa18e222167a completed June 19, 2026, 12:45 p.m.
Created at: May 1, 2026, 1:28 a.m.