Triple

T31928047
Position Surface form Disambiguated ID Type / Status
Subject Manmad Junction E815166 entity
Predicate line P1293 FINISHED
Object Manmad–Aurangabad–Nanded section
The Manmad–Aurangabad–Nanded section is a key railway route in Maharashtra, India, connecting the junction town of Manmad with the cities of Aurangabad and Nanded and serving as an important corridor for passenger and freight traffic.
E1987347 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: Manmad–Aurangabad–Nanded section | Statement: [Manmad Junction, line, Manmad–Aurangabad–Nanded 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: Manmad–Aurangabad–Nanded section
Triple: [Manmad Junction, line, Manmad–Aurangabad–Nanded section]
Generated description
The Manmad–Aurangabad–Nanded section is a key railway route in Maharashtra, India, connecting the junction town of Manmad with the cities of Aurangabad and Nanded and serving as an important corridor for 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_69f348f1df848190851bbfb988da3414 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b226b6a48190808724d83ace4503 completed May 3, 2026, 2:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb138d1708190b1e30d8a3f9bdc41 completed June 14, 2026, 1:48 p.m.
NEDg Description generation batch_6a2eb6cf3ec88190a492cbccde01950d completed June 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb71df5dc8190bbbfa78f6a101b20 completed June 14, 2026, 2:13 p.m.
Created at: May 1, 2026, 12:04 a.m.