Triple

T35727131
Position Surface form Disambiguated ID Type / Status
Subject Barnala railway station E1032644 entity
Predicate locatedOnLine P2409 FINISHED
Object Dhuri–Bathinda section
The Dhuri–Bathinda section is a railway line in the Indian state of Punjab that connects the towns of Dhuri and Bathinda, serving as an important regional transport corridor.
E2154286 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: Dhuri–Bathinda section | Statement: [Barnala railway station, locatedOnLine, Dhuri–Bathinda 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: Dhuri–Bathinda section
Triple: [Barnala railway station, locatedOnLine, Dhuri–Bathinda section]
Generated description
The Dhuri–Bathinda section is a railway line in the Indian state of Punjab that connects the towns of Dhuri and Bathinda, serving as an important regional transport corridor.

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_69f76e102b5881909e5d63a30a5cecbe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a131fc3881909d9897e52ca4f546 completed May 3, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885eb0d988190a324cd03f4cfab64 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3886f4d4b481909496d0062fb5c255 completed June 22, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a388786698c8190a77c02a874d0d790 completed June 22, 2026, 12:53 a.m.
Created at: May 3, 2026, 4:05 p.m.