Triple
T14743849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Miles (UK loyalty scheme) |
E346415
|
entity |
| Predicate | typicalPartners |
P70246
|
FINISHED |
| Object | supermarkets |
—
|
LITERAL 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: supermarkets | Statement: [Air Miles (UK loyalty scheme), typicalPartners, supermarkets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPartners Context triple: [Air Miles (UK loyalty scheme), typicalPartners, supermarkets]
-
A.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
B.
exportPartners
Indicates a relationship where one entity collaborates with or serves as a partner to another in exporting goods or services across borders.
-
C.
typicalAffiliates
chosen
Indicates that one entity is commonly or characteristically associated, aligned, or partnered with another entity.
-
D.
notablePartner
Indicates that two entities are or have been significant partners, typically in a prominent or noteworthy personal or professional relationship.
-
E.
coalitionPartnerWith
Indicates that two entities are formally aligned in a cooperative coalition, sharing goals or actions as partners within that coalition.
- F. None of above.
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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.