Triple
T1159936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mocha |
E24469
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Chai |
E87033
|
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: Chai | Statement: [Mocha, compatibleWith, Chai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chai Context triple: [Mocha, compatibleWith, Chai]
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Keemun black tea
chosen
Keemun black tea is a renowned Chinese black tea variety prized for its rich, mellow flavor and aromatic, winey notes.
-
C.
Fuze Tea
Fuze Tea is a ready-to-drink iced tea beverage brand owned and marketed globally by The Coca-Cola Company.
-
D.
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
-
E.
Teavana
Teavana is a specialty tea retailer and brand known for its loose-leaf teas, tea accessories, and tea-centric beverages.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ebbf80881909010e1e1e59212d4 |
completed | March 7, 2026, 5:22 p.m. |
Created at: March 1, 2026, 7:45 p.m.