Triple
T7346532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GrabPay |
E169393
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object |
DANA
DANA is a popular Indonesian digital wallet and mobile payment platform used for cashless transactions, bill payments, and online purchases.
|
E659401
|
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: DANA | Statement: [GrabPay, hasCompetitor, DANA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DANA Context triple: [GrabPay, hasCompetitor, DANA]
-
A.
Dyna
Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
-
B.
Dana
Dana is a feminine given name commonly used in various cultures, including Czech, English, and Hebrew-speaking communities.
-
C.
Dana
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
-
D.
DAN
DAN is a neutron-detecting scientific instrument on NASA's Curiosity rover used to measure subsurface hydrogen and infer the presence of water on Mars.
-
E.
Mottola
Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
- 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: DANA Triple: [GrabPay, hasCompetitor, DANA]
Generated description
DANA is a popular Indonesian digital wallet and mobile payment platform used for cashless transactions, bill payments, and online purchases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DANA Target entity description: DANA is a popular Indonesian digital wallet and mobile payment platform used for cashless transactions, bill payments, and online purchases.
-
A.
Dyna
Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
-
B.
Dana
Dana is a feminine given name commonly used in various cultures, including Czech, English, and Hebrew-speaking communities.
-
C.
Dana
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
-
D.
DAN
DAN is a neutron-detecting scientific instrument on NASA's Curiosity rover used to measure subsurface hydrogen and infer the presence of water on Mars.
-
E.
Mottola
Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f0329c8190a0182e3bf62604e5 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa916ac881909acee8184b71dc85 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fb05966c819089f47be0b9d32cb2 |
completed | March 28, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fddb63908190a5123ed8d7c9be1f |
completed | March 28, 2026, 4:12 p.m. |
Created at: March 27, 2026, 3:05 p.m.