Triple
T5607469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggi |
E147267
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Maggi 2-Minute Noodles |
E147267
|
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: Maggi 2-Minute Noodles | Statement: [Maggi, notableProduct, Maggi 2-Minute Noodles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggi 2-Minute Noodles Context triple: [Maggi, notableProduct, Maggi 2-Minute Noodles]
-
A.
Maggi
chosen
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Noodles
Noodles is the stage name and alias of Masta Killa, a member of the influential hip-hop group Wu-Tang Clan.
-
C.
Noodles
Noodles is the lead guitarist of the American punk rock band The Offspring, known for his energetic playing style and long tenure with the group.
-
D.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
-
E.
Ramenki
Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fd1b2c81908da154f7e11b90d8 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02878aad8819082d2c8f038b79bc7 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:39 p.m.