Triple
T8773680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waltair |
E208524
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Greater Visakhapatnam |
E684334
|
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: Greater Visakhapatnam | Statement: [Waltair, partOf, Greater Visakhapatnam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greater Visakhapatnam Context triple: [Waltair, partOf, Greater Visakhapatnam]
-
A.
Visakhapatnam metropolitan region
chosen
The Visakhapatnam metropolitan region is a major urban and industrial agglomeration on India’s eastern coast centered around the port city of Visakhapatnam in Andhra Pradesh.
-
B.
Krishnapatnam
Krishnapatnam is a coastal town in Andhra Pradesh, India, known primarily for hosting one of the country's major deep-water seaports.
-
C.
Vizagapatam
Vizagapatam, now commonly known as Visakhapatnam, is a major coastal city and port on the Bay of Bengal in present-day Andhra Pradesh, India.
-
D.
Machilipatnam
Machilipatnam is a coastal city in the Indian state of Andhra Pradesh, historically known as a significant port and trading center on the Bay of Bengal.
-
E.
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.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2ef3288190988bd69e8a02e741 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b3a8a248190aa32981bdcbe570d |
completed | April 4, 2026, 5:01 a.m. |
Created at: March 30, 2026, 6:41 p.m.