Triple
T22919004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondelez International |
E568804
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
TUC
TUC is a popular brand of savory, lightly salted snack crackers known for their crisp texture and rectangular shape, owned by Mondelēz International.
|
E1561840
|
NE FINISHED |
How this triple was built (4 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: TUC | Statement: [Mondelez International, brand, TUC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUC Context triple: [Mondelez International, brand, TUC]
-
A.
TUC
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
-
B.
TUC
TUC is the main national federation of trade unions in England and Wales, representing millions of workers and coordinating union activities and campaigns.
-
C.
TUC
TUC is the standard abbreviation used for the Tucson Roadrunners, a professional ice hockey team in the American Hockey League.
-
D.
TUC
TUC is the standard abbreviation for the Tucson Saguaros, a professional baseball team based in Tucson, Arizona.
-
E.
TUC Regions
TUC Regions are the regional divisions of the Trades Union Congress that coordinate and support trade union activity and campaigns across different parts of the UK.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TUC Triple: [Mondelez International, brand, TUC]
Generated description
TUC is a popular brand of savory, lightly salted snack crackers known for their crisp texture and rectangular shape, owned by Mondelēz International.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUC Target entity description: TUC is a popular brand of savory, lightly salted snack crackers known for their crisp texture and rectangular shape, owned by Mondelēz International.
-
A.
TUC
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
-
B.
TUC
TUC is the main national federation of trade unions in England and Wales, representing millions of workers and coordinating union activities and campaigns.
-
C.
TUC
TUC is the standard abbreviation used for the Tucson Roadrunners, a professional ice hockey team in the American Hockey League.
-
D.
TUC
TUC is the standard abbreviation for the Tucson Saguaros, a professional baseball team based in Tucson, Arizona.
-
E.
TUC Regions
TUC Regions are the regional divisions of the Trades Union Congress that coordinate and support trade union activity and campaigns across different parts of the UK.
- F. None of above. chosen
Provenance (5 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc242d8188190b8c4fba17337d787 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc2ea198081909fac3f91b13e444d |
completed | May 19, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc36ee72c81908bb65de9d23a2c13 |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 17, 2026, 3:42 p.m.