Triple
T4276407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASGI |
E97055
|
entity |
| Predicate | usedByServer |
P55136
|
FINISHED |
| Object | Hypercorn |
E97062
|
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: Hypercorn | Statement: [ASGI, usedByServer, Hypercorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hypercorn Context triple: [ASGI, usedByServer, Hypercorn]
-
A.
Hypercorn
chosen
Hypercorn is an asynchronous ASGI web server for Python designed to efficiently run modern frameworks like FastAPI and Quart.
-
B.
Huajicori
Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
-
C.
Cribyn
Cribyn is a prominent mountain peak in the central Brecon Beacons of South Wales, popular with hikers for its steep slopes and panoramic views.
-
D.
Zelos
Zelos is a minor Greek deity personifying zeal, rivalry, and dedication, often associated with the retinue of the god Zeus.
-
E.
Monrupino
Monrupino is a small municipality in northeastern Italy near the Slovenian border, known for its Karst landscape and bilingual Italian-Slovene cultural heritage.
- 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_69b5b7b3b52c8190ae7c05448faf5558 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.