Triple

T26051722
Position Surface form Disambiguated ID Type / Status
Subject Tiruchirappalli–Karur line E647994 entity
Predicate connectsTo P845 FINISHED
Object Karur–Dindigul line
The Karur–Dindigul line is a railway route in the Indian state of Tamil Nadu that links the town of Karur with the major junction of Dindigul, facilitating regional passenger and freight transport.
E1716798 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: Karur–Dindigul line | Statement: [Tiruchirappalli–Karur line, connectsTo, Karur–Dindigul 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: Karur–Dindigul line
Triple: [Tiruchirappalli–Karur line, connectsTo, Karur–Dindigul line]
Generated description
The Karur–Dindigul line is a railway route in the Indian state of Tamil Nadu that links the town of Karur with the major junction of Dindigul, facilitating regional passenger and freight transport.

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_69e77e8d419481908004e6318d28aaab completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6065ef22881908cecf6defe38519f completed May 2, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118f8ecd94819095a9503866261e03 completed May 23, 2026, 11:29 a.m.
NEDg Description generation batch_6a11902e8fa08190a631fab5541f89ca completed May 23, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_6a119094eaf88190a68b09d1ec79b634 completed May 23, 2026, 11:33 a.m.
Created at: April 22, 2026, 9:11 a.m.