Triple
T12512042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swaroop Sagar Lake |
E299101
|
entity |
| Predicate | isPartOfUrbanInfrastructure |
P19374
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Swaroop Sagar Lake, isPartOfUrbanInfrastructure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanInfrastructure Context triple: [Swaroop Sagar Lake, isPartOfUrbanInfrastructure, true]
-
A.
isPartOfInfrastructure
chosen
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
B.
isPublicInfrastructure
Indicates that something is part of publicly accessible, collectively used facilities or systems typically provided or regulated by government for common use.
-
C.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
D.
isTransportInfrastructureIn
Indicates that a piece of transport infrastructure (such as a road, railway, or airport) is located within or belongs to a specified geographic or administrative area.
-
E.
appliesToUrbanArea
Indicates that the relationship, rule, or condition is specifically relevant or applicable to an urban area.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.