Triple
T18050729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | urllib.error |
E431919
|
entity |
| Predicate | definesClass |
P93515
|
FINISHED |
| Object | URLError |
—
|
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: URLError | Statement: [urllib.error, definesClass, URLError]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: URLError Context triple: [urllib.error, definesClass, URLError]
-
A.
urllib
chosen
urllib is a Python standard library package that provides high-level and low-level interfaces for working with URLs and handling HTTP requests.
-
B.
KURL
KURL is the station code for Kurla railway station, a major suburban and intercity rail hub in Mumbai, India.
-
C.
Uri
Uri is a historic Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation.
-
D.
Uri
Uri is a border town in the Baramulla district of Jammu and Kashmir, India, known for its strategic location near the Line of Control and its role as a key transit point between India and Pakistan-administered Kashmir.
-
E.
Uri
Uri is a town and comune in the province of Sassari on the island of Sardinia, Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.