Triple
T5838699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pylons Project |
E129538
|
entity |
| Predicate | maintains |
P1580
|
FINISHED |
| Object | Colander |
E552007
|
NE 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: Colander | Statement: [Pylons Project, maintains, Colander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colander Context triple: [Pylons Project, maintains, Colander]
-
A.
Colander
chosen
Colander is a Python library used for data validation and deserialization, often employed in web applications to ensure structured and reliable input handling.
-
B.
Coltellini
Coltellini was an 18th-century Italian publisher and intellectual known for disseminating influential Enlightenment works, including Cesare Beccaria’s "Dei delitti e delle pene."
-
C.
Acciaroli
Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
-
D.
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
-
E.
Tarro
Tarro is a suburban railway station in the Hunter Region of New South Wales, Australia, serving the local community on the Main Northern line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034a66c448190a6ea7f9827cbffe9 |
completed | March 22, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0f371008190b11cd4da8a55dbb9 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.