Triple

T25884748

Position	Surface form	Disambiguated ID	Type / Status
Subject	PRYJ	`E652155`	entity
Predicate	previousStationCodeFor	`P75590`	FINISHED
Object	Allahabad Junction Allahabad Junction is a major railway station and transit hub in Prayagraj, Uttar Pradesh, serving as one of the busiest and most important junctions in northern India’s rail network.	`E1724079`	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: Allahabad Junction | Statement: [PRYJ, previousStationCodeFor, Allahabad Junction]

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: Allahabad Junction
Triple: [PRYJ, previousStationCodeFor, Allahabad Junction]

Generated description

Allahabad Junction is a major railway station and transit hub in Prayagraj, Uttar Pradesh, serving as one of the busiest and most important junctions in northern India’s rail network.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: previousStationCodeFor
Context triple: [PRYJ, previousStationCodeFor, Allahabad Junction]

A. formerStationCode chosen
Indicates that an entity previously had a specific station code that is no longer in current use.
B. precedingStation
Indicates that one station is located immediately before another station in a route or sequence.
C. precedingStationTowards
Indicates that one station is immediately before another station along a specified direction or route toward a given destination.
D. previousStationOnLine1
Indicates that one station is the immediately preceding station to another station along transit line 1.
E. precedingStationOnLine2
Indicates that one station is immediately before another station along the sequence of stops on transit line 2.
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_69e7ab3b92cc81908febd90317862647`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f6d6a6b04c8190bee4cf9c00665ef7`	completed	May 3, 2026, 5:01 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a11ae921a9c819083fc2f875807478d`	completed	May 23, 2026, 1:41 p.m.
NEDg	Description generation	`batch_6a11afb54ae8819080879d203d92a5c9`	completed	May 23, 2026, 1:46 p.m.
NED2	Entity disambiguation (via description)	`batch_6a11b051d328819090f947755dda4cfc`	completed	May 23, 2026, 1:49 p.m.
PD	Predicate disambiguation	`batch_69f6d26ceb08819091c71c001e954936`	completed	May 3, 2026, 4:43 a.m.

Created at: April 22, 2026, 8:17 a.m.