Triple

T33019163
Position Surface form Disambiguated ID Type / Status
Subject Tiruvarur Junction E844856 entity
Predicate railwayLine P848 FINISHED
Object Tiruvarur–Nagapattinam line
The Tiruvarur–Nagapattinam line is a regional railway route in Tamil Nadu, India, connecting the inland town of Tiruvarur with the coastal city of Nagapattinam.
E2033879 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: Tiruvarur–Nagapattinam line | Statement: [Tiruvarur Junction, railwayLine, Tiruvarur–Nagapattinam 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: Tiruvarur–Nagapattinam line
Triple: [Tiruvarur Junction, railwayLine, Tiruvarur–Nagapattinam line]
Generated description
The Tiruvarur–Nagapattinam line is a regional railway route in Tamil Nadu, India, connecting the inland town of Tiruvarur with the coastal city of Nagapattinam.

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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d2aec45881909c0072e639fdeafd completed May 3, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e5087a948190aba6b41b46b0af8a completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e62111ec81908bf35fcc167b5a65 completed June 19, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_6a34e6d3261c81908ab8544cc644b03a completed June 19, 2026, 6:50 a.m.
Created at: May 1, 2026, 1:23 a.m.