Triple
T35316762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanasi metropolitan area |
E1019923
|
entity |
| Predicate | majorRiverFront |
P200215
|
FINISHED |
| Object | Varanasi ghats |
—
|
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: Varanasi ghats | Statement: [Varanasi metropolitan area, majorRiverFront, Varanasi ghats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRiverFront Context triple: [Varanasi metropolitan area, majorRiverFront, Varanasi ghats]
-
A.
majorPortOnRiver
Indicates that a port is a primary or significant harbor facility located on the banks of a specified river.
-
B.
hasMajorCityOnRiver
Indicates that a major city is located on and directly associated with a particular river.
-
C.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
-
D.
isMajorRiver
Indicates that a river is classified as a major or significant river, typically based on factors like length, discharge, or geographic importance.
-
E.
majorRiverRole
Indicates that a river plays a primary or dominant role in a specified context, such as geography, economy, culture, or ecology, relative to other rivers in the area.
- F. None of above. chosen
Provenance (4 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69ff7ae4bc948190a4cd21a60d091977 |
completed | May 9, 2026, 6:20 p.m. |
Created at: May 3, 2026, 4:03 p.m.