Triple
T4513409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirupati railway station |
E102100
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Vijayawada |
E36504
|
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: Vijayawada | Statement: [Tirupati railway station, connectsTo, Vijayawada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijayawada Context triple: [Tirupati railway station, connectsTo, Vijayawada]
-
A.
Vijayawada
chosen
Vijayawada is a major commercial and cultural city in the Indian state of Andhra Pradesh, known as a key transportation hub and an important center for trade, education, and politics in the region.
-
B.
Kakinada
Kakinada is a coastal city in the Indian state of Andhra Pradesh, known for its port, seafood industry, and role as a regional commercial hub.
-
C.
Secunderabad
Secunderabad is a major twin city of Hyderabad in the Indian state of Telangana, known as an important commercial and transportation hub with a significant military presence.
-
D.
Guntur
Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
-
E.
Gachibowli
Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5722d8fc81909c5f2d9a38d17a6b |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd37f7ed48190ae0a82597aafc66e |
completed | March 20, 2026, 11:08 p.m. |
Created at: March 20, 2026, 1:02 p.m.