Triple

T34085054
Position Surface form Disambiguated ID Type / Status
Subject NSE trading terminals E874155 entity
Predicate requiresConnectionTo P37306 FINISHED
Object NSE trading engine
The NSE trading engine is the core electronic system of the National Stock Exchange of India that matches and executes buy and sell orders in real time.
 E2080675 NE FINISHED

How this triple was built (3 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: NSE trading engine | Statement: [NSE trading terminals, requiresConnectionTo, NSE trading engine]
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: NSE trading engine
Triple: [NSE trading terminals, requiresConnectionTo, NSE trading engine]
Generated description
The NSE trading engine is the core electronic system of the National Stock Exchange of India that matches and executes buy and sell orders in real time.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: requiresConnectionTo
Context triple: [NSE trading terminals, requiresConnectionTo, NSE trading engine]
  • A. usesConnectionsIn
    Indicates that one entity employs or leverages the connections, relationships, or network associated with another entity to achieve some purpose.
  • B. compatibleConnection
    Indicates that two entities can be connected or used together without conflict, supporting proper operation or interaction.
  • C. connectionTo chosen
    Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
  • D. requiresApplicationTo
    Indicates that one entity can only access, use, or obtain another entity if a formal application or request process is completed.
  • E. requiresCall
    Indicates that one entity must initiate or receive a phone call or similar direct voice communication with another entity as a necessary condition for some action or state.
  • F. None of above.

Provenance (6 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_69f349a61d448190b74642f325d3eb7a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff5b233e9c8190adc06cca0758986b completed May 9, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae583c6c81909ed83bf85d04d8d5 completed June 20, 2026, 3:14 p.m.
NEDg Description generation batch_6a36aef70cac81909864ca6c04cbfa2a completed June 20, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a36afc47fc4819097fd115ba24b55dc completed June 20, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69ff5a5682108190a006b23c4fcdcc7c completed May 9, 2026, 4:01 p.m.
Created at: May 1, 2026, 1:52 a.m.