Triple
T7256259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prayagraj Junction |
E157728
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Patna Junction |
E295125
|
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: Patna Junction | Statement: [Prayagraj Junction, connectsTo, Patna Junction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patna Junction Context triple: [Prayagraj Junction, connectsTo, Patna Junction]
-
A.
Patna Junction
chosen
Patna Junction is one of the busiest and most important railway stations in eastern India, serving as a key transportation hub for the city of Patna and the surrounding region.
-
B.
Prayagraj Junction
Prayagraj Junction is a major railway station and transportation hub in the city of Prayagraj (formerly Allahabad) in Uttar Pradesh, India.
-
C.
Ayodhya Junction
Ayodhya Junction is a major railway station in the city of Ayodhya, Uttar Pradesh, serving as a key rail hub for pilgrims and travelers visiting this important religious and historical center.
-
D.
Lucknow Junction
Lucknow Junction is a major railway station and transport hub serving the city of Lucknow in the Indian state of Uttar Pradesh.
-
E.
Varanasi Junction
Varanasi Junction is a major railway station and transportation hub serving the ancient city of Varanasi in Uttar Pradesh, India.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa274bc8190b017b71583711453 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eed1b5a48190875e9e0bfdc80ae4 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 2:57 p.m.