Triple
T22919393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Crown Cola Company |
E568816
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object |
Upper 10
Upper 10 is a lemon-lime flavored soft drink brand that served as Royal Crown Cola Company's answer to competitors like 7UP and Sprite.
|
E1561860
|
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: Upper 10 | Statement: [Royal Crown Cola Company, notableProduct, Upper 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upper 10 Context triple: [Royal Crown Cola Company, notableProduct, Upper 10]
-
A.
Upper Dir
Upper Dir is a mountainous district in Pakistan’s Khyber Pakhtunkhwa province, known for its rugged terrain, river valleys, and proximity to the Hindu Kush range.
-
B.
U15
U15 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
-
C.
U15
U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
-
D.
U16
U16 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
-
E.
U13
U13 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
- 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: Upper 10 Triple: [Royal Crown Cola Company, notableProduct, Upper 10]
Generated description
Upper 10 is a lemon-lime flavored soft drink brand that served as Royal Crown Cola Company's answer to competitors like 7UP and Sprite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upper 10 Target entity description: Upper 10 is a lemon-lime flavored soft drink brand that served as Royal Crown Cola Company's answer to competitors like 7UP and Sprite.
-
A.
Upper Dir
Upper Dir is a mountainous district in Pakistan’s Khyber Pakhtunkhwa province, known for its rugged terrain, river valleys, and proximity to the Hindu Kush range.
-
B.
U15
U15 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
-
C.
U15
U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
-
D.
U16
U16 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
-
E.
U13
U13 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
- 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.