Triple

T27262808
Position Surface form Disambiguated ID Type / Status
Subject Azara railway station E687812 entity
Predicate railwayLine P848 FINISHED
Object Barauni–Guwahati line
The Barauni–Guwahati line is a major railway route in eastern and northeastern India that connects Bihar with Assam, serving as a key corridor for passenger and freight traffic into the Northeast.
 E1796337 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: Barauni–Guwahati line | Statement: [Azara railway station, railwayLine, Barauni–Guwahati 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: Barauni–Guwahati line
Triple: [Azara railway station, railwayLine, Barauni–Guwahati line]
Generated description
The Barauni–Guwahati line is a major railway route in eastern and northeastern India that connects Bihar with Assam, serving as a key corridor for passenger and freight traffic into the Northeast.

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_69ef3557abc481908bf3c146f0f3356a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626f07218819080448c001f01ba45 completed May 2, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13112a5fac81908580666ea37948ca completed May 24, 2026, 2:54 p.m.
NEDg Description generation batch_6a13128cd3ac8190bccb59b734bab1bd completed May 24, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a1314611fac81909731effc36b3a00b completed May 24, 2026, 3:08 p.m.
Created at: April 27, 2026, 10:53 a.m.