Triple
T17892689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Türkiye İş Bankası |
E447359
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Maximum Card
Maximum Card is a popular Turkish credit and debit card brand offering rewards, installment options, and various banking services to consumers.
|
E1294079
|
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: Maximum Card | Statement: [Türkiye İş Bankası, brand, Maximum Card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maximum Card Context triple: [Türkiye İş Bankası, brand, Maximum Card]
-
A.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
B.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
C.
In the Cards
"In the Cards" is a lighthearted Star Trek: Deep Space Nine episode in which Jake Sisko embarks on a convoluted quest to obtain a rare baseball card to cheer up his father, Captain Benjamin Sisko.
-
D.
Stacked Deck
"Stacked Deck" is a song featured on the album "Let's Roll."
-
E.
Cardiac Cards
Cardiac Cards is a nickname for the former St. Louis Cardinals NFL team, referencing their dramatic, late-game comebacks and close finishes.
- 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: Maximum Card Triple: [Türkiye İş Bankası, brand, Maximum Card]
Generated description
Maximum Card is a popular Turkish credit and debit card brand offering rewards, installment options, and various banking services to consumers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maximum Card Target entity description: Maximum Card is a popular Turkish credit and debit card brand offering rewards, installment options, and various banking services to consumers.
-
A.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
B.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
C.
In the Cards
"In the Cards" is a lighthearted Star Trek: Deep Space Nine episode in which Jake Sisko embarks on a convoluted quest to obtain a rare baseball card to cheer up his father, Captain Benjamin Sisko.
-
D.
Stacked Deck
"Stacked Deck" is a song featured on the album "Let's Roll."
-
E.
Cardiac Cards
Cardiac Cards is a nickname for the former St. Louis Cardinals NFL team, referencing their dramatic, late-game comebacks and close finishes.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7a855c8190b20bdbf6dcd4fd47 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313e10c40819089cb912a020b32de |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031528abac8190b5257eff1647b6b3 |
completed | May 12, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03164881ec8190a783b095f3cf47b3 |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:19 a.m.