Triple
T35436351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keshoraipatan |
E1024217
|
entity |
| Predicate | nearestMajorRiverValleyCity |
P166639
|
FINISHED |
| Object | Kota |
—
|
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: Kota | Statement: [Keshoraipatan, nearestMajorRiverValleyCity, Kota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorRiverValleyCity Context triple: [Keshoraipatan, nearestMajorRiverValleyCity, Kota]
-
A.
nearestMajorRiverTown
chosen
Indicates that one town is the closest significant river-based settlement to another location or town.
-
B.
largestCityLocatedOnRiver
Indicates that a city is the largest (by population or size) among all cities situated on a given river.
-
C.
hasMajorCityOnRiver
Indicates that a major city is located on and directly associated with a particular river.
-
D.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
-
E.
capitalCityOnRiver
Indicates that a capital city is located on and directly adjacent to a particular river.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.