Triple
T17420645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Eastern Railway zone |
E423601
|
entity |
| Predicate | hasMajorStation |
P1071
|
FINISHED |
| Object | Deoria Sadar |
—
|
NE NERFINISHED |
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: Deoria Sadar | Statement: [North Eastern Railway zone, hasMajorStation, Deoria Sadar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deoria Sadar Context triple: [North Eastern Railway zone, hasMajorStation, Deoria Sadar]
-
A.
Deoria
chosen
Deoria is a prominent city and administrative center in eastern Uttar Pradesh, India, known for its role as a regional commercial and transportation hub.
-
B.
Moradabad
Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
-
C.
Aligarh
Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
-
D.
Bulandshahr
Bulandshahr is a city in the Indian state of Uttar Pradesh known for its historical significance and proximity to Delhi within the broader metropolitan region.
-
E.
Farrukhabad
Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.