Triple
T9497684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartz (Apple graphics) |
E229050
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Cocoa |
E41437
|
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: Cocoa | Statement: [Quartz (Apple graphics), usedBy, Cocoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocoa Context triple: [Quartz (Apple graphics), usedBy, Cocoa]
-
A.
Cocoa
chosen
Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
-
B.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
C.
Mocha
Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
-
D.
Chocina
Chocina is a river in northern Poland that serves as a tributary of the Brda River.
-
E.
Cochoqua
The Cochoqua were a prominent Khoikhoi pastoralist group in the Cape region of South Africa, known for their power and involvement in early conflicts with Dutch colonists in the 17th century.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ef06b88190b7a840caddea3e38 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0a5ec881908bb1643d2bea2c9f |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:56 p.m.