Triple

T34854059
Position Surface form Disambiguated ID Type / Status
Subject Bathinda Junction railway station E1004678 entity
Predicate connectsRoute P845 FINISHED
Object Bathinda–Rewari line
The Bathinda–Rewari line is a railway route in northern India that links Bathinda in Punjab with Rewari in Haryana, serving as an important corridor for both passenger and freight traffic.
E2116991 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: Bathinda–Rewari line | Statement: [Bathinda Junction railway station, connectsRoute, Bathinda–Rewari 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: Bathinda–Rewari line
Triple: [Bathinda Junction railway station, connectsRoute, Bathinda–Rewari line]
Generated description
The Bathinda–Rewari line is a railway route in northern India that links Bathinda in Punjab with Rewari in Haryana, serving as an important corridor for both passenger and freight traffic.

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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78160d3388190822ed8ff3921a8f2 completed May 3, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786cea29081908ca42e59b082957b completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378f9e0e5881909de7792d091ddcdf completed June 21, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a37906a102c8190a47f112103741b80 completed June 21, 2026, 7:19 a.m.
Created at: May 3, 2026, 4 p.m.