Triple
T9900335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetBrains Rider |
E182264
|
entity |
| Predicate | supportsTechnology |
P5090
|
FINISHED |
| Object | MAUI |
E34610
|
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: MAUI | Statement: [JetBrains Rider, supportsTechnology, MAUI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAUI Context triple: [JetBrains Rider, supportsTechnology, MAUI]
-
A.
MAUI
chosen
MAUI (Multi-platform App UI) is a Microsoft framework for building native cross-platform applications for mobile, desktop, and other devices using a single .NET codebase.
-
B.
Lawaan
Lawaan is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and natural landscapes.
-
C.
Honolulu–Maui
Honolulu–Maui is a key inter-island air route in Hawaii connecting the state capital on Oʻahu with the major island of Maui.
-
D.
Hana, Hawaii
Hana, Hawaii is a small, remote town on the eastern coast of Maui known for its lush tropical landscapes, scenic coastal highway, and relatively undeveloped, traditional Hawaiian character.
-
E.
Oahu South Shore
Oahu South Shore is the popular coastal region of Oahu that includes Honolulu and Waikiki, known for its beaches, surf breaks, and urban resort atmosphere.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e0705c8190bd17e36aff615cdd |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d92624c81909f5a8af8703ead09 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:40 p.m.