Triple
T4519510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Delhi railway station |
E103231
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | NDLS |
E103231
|
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: NDLS | Statement: [New Delhi railway station, stationCode, NDLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NDLS Context triple: [New Delhi railway station, stationCode, NDLS]
-
A.
NDLS
chosen
NDLS is the station code for New Delhi Railway Station, one of India’s busiest and most important railway hubs.
-
B.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
C.
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.
-
D.
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.
-
E.
NLS
NLS is the commonly used abbreviation for the National League System, the tiered structure of men’s football leagues in England below the professional Premier League and English Football League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5747e90c81908fa112ecace699a9 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda432bfd48190a0eba7cd37fb1953 |
completed | March 20, 2026, 7:46 p.m. |
Created at: March 20, 2026, 1:02 p.m.