Triple
T19223305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesco |
E480672
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Clubcard
Clubcard is Tesco’s customer loyalty program that offers members points, discounts, and personalized offers on their shopping.
|
E1364619
|
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: Clubcard | Statement: [Tesco, brand, Clubcard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clubcard Context triple: [Tesco, brand, Clubcard]
-
A.
Leap Card
Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
-
B.
Swiss Family Card
The Swiss Family Card is a travel pass that allows children to travel for free or at a discount when accompanied by a parent holding a valid Swiss Travel System ticket or pass.
-
C.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
D.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
E.
CharmCard
CharmCard is a contactless smart fare card used for paying transit fares across the Maryland Transit Administration’s bus, rail, and other public transportation services.
- 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: Clubcard Triple: [Tesco, brand, Clubcard]
Generated description
Clubcard is Tesco’s customer loyalty program that offers members points, discounts, and personalized offers on their shopping.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clubcard Target entity description: Clubcard is Tesco’s customer loyalty program that offers members points, discounts, and personalized offers on their shopping.
-
A.
Leap Card
Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
-
B.
Swiss Family Card
The Swiss Family Card is a travel pass that allows children to travel for free or at a discount when accompanied by a parent holding a valid Swiss Travel System ticket or pass.
-
C.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
D.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
E.
CharmCard
CharmCard is a contactless smart fare card used for paying transit fares across the Maryland Transit Administration’s bus, rail, and other public transportation services.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa94aed081909045cfed8edc6039 |
completed | April 20, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700eeb9808190857f490dec27be69 |
completed | May 15, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_6a0701a602c88190bc06dc616f3be6f1 |
completed | May 15, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07027372c88190b19ea77d9b610a56 |
completed | May 15, 2026, 11:24 a.m. |
Created at: April 10, 2026, 1:24 p.m.