Triple
T8773943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kailasagiri |
E208529
|
entity |
| Predicate | nearbyCityArea |
P80694
|
FINISHED |
| Object | Visakhapatnam beachfront |
—
|
LITERAL 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: Visakhapatnam beachfront | Statement: [Kailasagiri, nearbyCityArea, Visakhapatnam beachfront]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyCityArea Context triple: [Kailasagiri, nearbyCityArea, Visakhapatnam beachfront]
-
A.
hasNearbyCityArea
chosen
Indicates that one area is geographically close to or adjacent to a city area.
-
B.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
C.
nearbyState
Indicates that one state is geographically adjacent to or in close proximity to another state.
-
D.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
E.
nearByCityState
Indicates that a city is geographically close to or within the same general area as a specified state.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:41 p.m.