Triple
T10741950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATM Barcelona |
E253346
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ATM |
E871769
|
NE FINISHED |
How this triple was built (2 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: ATM | Statement: [ATM Barcelona, abbreviation, ATM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATM Context triple: [ATM Barcelona, abbreviation, ATM]
-
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
chosen
ATM is the commonly used abbreviation for the Autoritat del Transport Metropolità, the public authority that coordinates and manages metropolitan public transport in the Barcelona area.
-
C.
ATM
ATM is the commonly used abbreviation for Atlético de Madrid, the Spanish professional football club nicknamed "Los Colchoneros."
-
D.
ATM
The ATM is the unified military organization responsible for the defense and security of Malaysia.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de558f26e88190a9cb8f4d0539e5a5 |
completed | April 14, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:15 p.m.