Triple

T32888922
Position Surface form Disambiguated ID Type / Status
Subject Mantralayam Road railway station E841278 entity
Predicate onLine P1293 FINISHED
Object Mumbai–Erode line
The Mumbai–Erode line is a major Indian railway route connecting Mumbai in Maharashtra with Erode in Tamil Nadu, serving as an important corridor for passenger and freight traffic across western and southern India.
E2062306 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: Mumbai–Erode line | Statement: [Mantralayam Road railway station, onLine, Mumbai–Erode 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: Mumbai–Erode line
Triple: [Mantralayam Road railway station, onLine, Mumbai–Erode line]
Generated description
The Mumbai–Erode line is a major Indian railway route connecting Mumbai in Maharashtra with Erode in Tamil Nadu, serving as an important corridor for passenger and freight traffic across western and southern India.

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_69f349446e288190a70c05bcc4d81172 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0409a848190b570ec8dd071eb75 completed May 3, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3626fae8308190bebd29c34699caa9 completed June 20, 2026, 5:36 a.m.
NEDg Description generation batch_6a3631f25aa88190837b321823e97f61 completed June 20, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_6a36324c136c8190a1e8457c3b46204c completed June 20, 2026, 6:25 a.m.
Created at: May 1, 2026, 1:18 a.m.