Triple
T18051601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werkzeug |
E431936
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Quart |
—
|
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: Quart | Statement: [Werkzeug, usedBy, Quart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quart Context triple: [Werkzeug, usedBy, Quart]
-
A.
Quart
chosen
Quart is a Python web microframework with an asyncio-based design that provides an ASGI-compatible, Flask-like API for building asynchronous web applications.
-
B.
Quart
Quart is a municipality in the Gironès comarca of Catalonia, Spain, known for its traditional ceramics and proximity to the city of Girona.
-
C.
Quarteera
Quarteera is a Berlin-based LGBTQ+ organization focused on supporting and advocating for Russian-speaking queer communities.
-
D.
Squant
Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
-
E.
Kwinti
Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
- 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_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.