Triple
T21989650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSONPath |
E543048
|
entity |
| Predicate | differentFrom |
P1612
|
FINISHED |
| Object | JMESPath |
—
|
NE NERFINISHED |
How this triple was built (3 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: JMESPath | Statement: [JSONPath, differentFrom, JMESPath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JMESPath Context triple: [JSONPath, differentFrom, JMESPath]
-
A.
JSONPath
JSONPath is a query language designed for selecting and extracting data from JSON structures using path-like expressions.
-
B.
JSONiq
JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
-
C.
JSON Pointer
JSON Pointer is a standardized syntax for identifying and referencing specific values within a JSON document using string-based paths.
-
D.
JSON5
JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
-
E.
Jsonnet
Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JMESPath Target entity description: JMESPath is a query language designed for extracting and transforming data from JSON documents in a structured, declarative way.
-
A.
JSONPath
JSONPath is a query language designed for selecting and extracting data from JSON structures using path-like expressions.
-
B.
JSONiq
JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
-
C.
JSON Pointer
JSON Pointer is a standardized syntax for identifying and referencing specific values within a JSON document using string-based paths.
-
D.
JSON5
JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
-
E.
Jsonnet
Jsonnet is a data templating language for defining and generating structured JSON and related configuration files programmatically.
- F. None of above. chosen
Provenance (2 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.