Triple
T16499486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fly |
E400764
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object |
Apple SAPCOR 17
Apple SAPCOR 17 is a specific Apple Records label imprint used for certain releases of the Beatles’ song “Fly.”
|
E1216735
|
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: Apple SAPCOR 17 | Statement: [Fly, labelImprint, Apple SAPCOR 17]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple SAPCOR 17 Context triple: [Fly, labelImprint, Apple SAPCOR 17]
-
A.
SAP
SAP was the former official currency of South Africa, used before the adoption of the South African rand.
-
B.
SAP
SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
-
C.
SAP
SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
-
D.
SAP
SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
-
E.
SAP
SAP is Sweden’s major center-left political party, historically associated with social democracy, the welfare state, and long periods of governing the country.
- 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: Apple SAPCOR 17 Triple: [Fly, labelImprint, Apple SAPCOR 17]
Generated description
Apple SAPCOR 17 is a specific Apple Records label imprint used for certain releases of the Beatles’ song “Fly.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apple SAPCOR 17 Target entity description: Apple SAPCOR 17 is a specific Apple Records label imprint used for certain releases of the Beatles’ song “Fly.”
-
A.
SAP
SAP is the commonly used abbreviation for the Société d’Anthropologie de Paris, a French learned society dedicated to the study of anthropology.
-
B.
SAP
SAP is the station code for Lisbon Santa Apolónia, one of the main railway terminals in Lisbon, Portugal.
-
C.
SAP
SAP was the former official currency of South Africa, used before the adoption of the South African rand.
-
D.
SAP
SAP is Sweden’s major center-left political party, historically associated with social democracy, the welfare state, and long periods of governing the country.
-
E.
SAP
SAP is a leading global enterprise software company best known for its ERP solutions that help organizations manage business operations and customer relations.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e35b96881908c9d339eea9e4314 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582c6188819083eb1c1a87ce75a3 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059cb0e8c81908745e5f5a1c64117 |
completed | May 10, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005ab310f481909193c5c5fe322d2a |
completed | May 10, 2026, 10:15 a.m. |
Created at: April 10, 2026, 5:14 a.m.