Triple
T7421255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS/2 |
E171250
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
ATMs
ATMs (Automated Teller Machines) are self-service banking terminals that allow customers to perform financial transactions such as cash withdrawals, deposits, and balance inquiries without the need for a human teller.
|
E662819
|
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: ATMs | Statement: [OS/2, usedIn, ATMs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATMs Context triple: [OS/2, usedIn, ATMs]
-
A.
ATM
"ATM" is a hit single by rapper J. Cole known for its commentary on materialism and catchy "count it up" refrain.
-
B.
ATM
ATM is the commonly used abbreviation for Atlético de Madrid, the Spanish professional football club nicknamed "Los Colchoneros."
-
C.
Chivo ATMs
Chivo ATMs are El Salvador’s state-backed cryptocurrency cash machines that let users buy, sell, and withdraw Bitcoin as part of the country’s national Bitcoin adoption initiative.
-
D.
Banks
Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
-
E.
Banks
Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
- 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: ATMs Triple: [OS/2, usedIn, ATMs]
Generated description
ATMs (Automated Teller Machines) are self-service banking terminals that allow customers to perform financial transactions such as cash withdrawals, deposits, and balance inquiries without the need for a human teller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATMs Target entity description: ATMs (Automated Teller Machines) are self-service banking terminals that allow customers to perform financial transactions such as cash withdrawals, deposits, and balance inquiries without the need for a human teller.
-
A.
ATM
"ATM" is a hit single by rapper J. Cole known for its commentary on materialism and catchy "count it up" refrain.
-
B.
ATM
ATM is the commonly used abbreviation for Atlético de Madrid, the Spanish professional football club nicknamed "Los Colchoneros."
-
C.
Chivo ATMs
Chivo ATMs are El Salvador’s state-backed cryptocurrency cash machines that let users buy, sell, and withdraw Bitcoin as part of the country’s national Bitcoin adoption initiative.
-
D.
Banks
Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
-
E.
Banks
Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef7fc808190a564ab4d9d97ab37 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81f9b565881909bebcc3112037f52 |
completed | March 28, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8207912f4819086e99ed441bee805 |
completed | March 28, 2026, 6:39 p.m. |
Created at: March 27, 2026, 3:11 p.m.