Triple
T4276752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypercorn |
E97062
|
entity |
| Predicate | supportsFramework |
P9089
|
FINISHED |
| Object | Quart |
E426642
|
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: Quart | Statement: [Hypercorn, supportsFramework, Quart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quart Context triple: [Hypercorn, supportsFramework, 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.
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.
-
C.
Cuartero
Cuartero is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines.
-
D.
New Quad
New Quad is one of the main quadrangles of The Queen's College, Oxford, known for its collegiate architecture and central role in college life.
-
E.
Paternion
Paternion is a market town in the Austrian state of Carinthia, known for its location in the Drava Valley and its historical role as a local administrative and economic center.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501d677481909e7416a1d2b0008c |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c7237b608190ab5aca56027344c4 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.