Triple
T17001385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. R. D. Tata |
E412451
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Tata Tea |
E759312
|
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: Tata Tea | Statement: [J. R. D. Tata, founded, Tata Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tata Tea Context triple: [J. R. D. Tata, founded, Tata Tea]
-
A.
Tata Tea
chosen
Tata Tea is a major Indian tea brand and beverage company, part of the Tata Group, known for its wide range of packaged teas and strong presence in the domestic and international markets.
-
B.
Lipton
Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
-
C.
Roshen
Roshen is a major Ukrainian confectionery corporation known for producing a wide range of chocolates, candies, and other sweets and for being one of Eastern Europe’s largest candy manufacturers.
-
D.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
E.
Schweppes
Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37ec2b48190b4f997899d887ba8 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1e2f708190999f6fab16fdabe8 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.