Triple

T873765
Position Surface form Disambiguated ID Type / Status
Subject New Delhi Railway Station E18871 entity
Predicate hasStationCode P1289 FINISHED
Object NDLS
NDLS is the station code for New Delhi Railway Station, one of India’s busiest and most important railway hubs.
 E103231 NE FINISHED

How this triple was built (4 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: NDLS | Statement: [New Delhi Railway Station, hasStationCode, NDLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NDLS
Context triple: [New Delhi Railway Station, hasStationCode, NDLS]
  • A. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • B. NLS
    NLS is a U.S. Library of Congress program that provides free accessible reading materials, including braille and audio books, to people who are blind, have low vision, or are print disabled.
  • C. LSC
    LSC is the IATA airport code for La Florida Airport, which serves the city of La Serena in Chile.
  • D. NDH
    NDH was the fascist puppet state established by the Axis powers in World War II on the territory of occupied Croatia and Bosnia and Herzegovina.
  • E. NDX
    NDX is the ticker symbol for the NASDAQ-100 Index, a major stock market index tracking 100 of the largest non-financial companies listed on the Nasdaq exchange.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: NDLS
Triple: [New Delhi Railway Station, hasStationCode, NDLS]
Generated description
NDLS is the station code for New Delhi Railway Station, one of India’s busiest and most important railway hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NDLS
Target entity description: NDLS is the station code for New Delhi Railway Station, one of India’s busiest and most important railway hubs.
  • A. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • B. NLS
    NLS is a U.S. Library of Congress program that provides free accessible reading materials, including braille and audio books, to people who are blind, have low vision, or are print disabled.
  • C. LSC
    LSC is the IATA airport code for La Florida Airport, which serves the city of La Serena in Chile.
  • D. NDH
    NDH was the fascist puppet state established by the Axis powers in World War II on the territory of occupied Croatia and Bosnia and Herzegovina.
  • E. NDX
    NDX is the ticker symbol for the NASDAQ-100 Index, a major stock market index tracking 100 of the largest non-financial companies listed on the Nasdaq exchange.
  • F. None of above. chosen

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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84fb2d0819084c256023bc23dc5 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b985298c8190b465ce0589cd2c24 completed March 4, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba44b79c8190b0ce8a430fe928e5 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.