Triple
T8279580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drake Circus Shopping Centre |
E193634
|
entity |
| Predicate | hasTenant |
P3277
|
FINISHED |
| Object | KFC |
E427528
|
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: KFC | Statement: [Drake Circus Shopping Centre, hasTenant, KFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFC Context triple: [Drake Circus Shopping Centre, hasTenant, KFC]
-
A.
KFC
KFC is a Scottish professional football club based in Kilmarnock, known for competing in the Scottish football league system.
-
B.
Kentucky Fried Chicken
chosen
Kentucky Fried Chicken (KFC) is a global fast-food restaurant chain originating in the United States, best known for its fried chicken and distinctive blend of herbs and spices.
-
C.
Chick-fil-A
Chick-fil-A is a major American fast-food restaurant chain best known for its chicken sandwiches and strong presence in the Southern United States.
-
D.
Burger King
Burger King is a global fast-food restaurant chain known for flame-grilled burgers such as the Whopper.
-
E.
Hardee
Hardee is a surname most notably associated with William J. Hardee, a 19th-century United States Army officer and Confederate general during the American Civil War.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ece5708190a1569bcfad5b3644 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd951c06b88190962b108b3325d30b |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.