Triple
T5894846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuetify |
E131076
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Pinia |
E131071
|
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: Pinia | Statement: [Vuetify, integratesWith, Pinia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinia Context triple: [Vuetify, integratesWith, Pinia]
-
A.
Pinia
chosen
Pinia is the official state management library for Vue.js, offering a lightweight, modular, and TypeScript-friendly alternative to Vuex.
-
B.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
C.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
D.
Poco
Poco is an American country rock band formed in the late 1960s, known as a pioneering group in the development of the country rock genre.
-
E.
Pajaka
Pajaka is a small village in Karnataka, India, best known as the birthplace of the Dvaita Vedanta philosopher Madhvacharya and a site of religious pilgrimage.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f3364c81909353f62ca483f24f |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e385ac5c8190ad8824db416ea009 |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:58 p.m.