Triple
T7898232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mongoose |
E183384
|
entity |
| Predicate | usedWith |
P4791
|
FINISHED |
| Object | Koa |
E131081
|
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: Koa | Statement: [Mongoose, usedWith, Koa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koa Context triple: [Mongoose, usedWith, Koa]
-
A.
Koa
chosen
Koa is a lightweight, modern Node.js web framework designed by the creators of Express to provide a more expressive and robust foundation for web applications and APIs.
-
B.
Kona
Kona is a coastal town on the western side of Hawaii's Big Island, known for its coffee farms, historic sites, and popular snorkeling and diving spots.
-
C.
Nuʻuuli
Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
-
D.
Punga
Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
-
E.
Maoka
Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a2ae5048190a6824d34b582c366 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc562c6e188190adbdf99479170920 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:01 p.m.