Triple
T2224311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Lot |
E48613
|
entity |
| Predicate | hasDining |
P4442
|
FINISHED |
| Object | Luigi’s Pizza |
E195394
|
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: Luigi’s Pizza | Statement: [Upper Lot, hasDining, Luigi’s Pizza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luigi’s Pizza Context triple: [Upper Lot, hasDining, Luigi’s Pizza]
-
A.
Luigi’s Pizza
chosen
Luigi’s Pizza is a fictional Italian restaurant in Springfield, frequently featured in the animated television series "The Simpsons."
-
B.
Pizzaman
Pizzaman is an electronic music project and alias of British DJ and producer Norman Cook, better known as Fatboy Slim.
-
C.
Pizza Hut Park
Pizza Hut Park, now known as Toyota Stadium, is a soccer-specific stadium in Frisco, Texas that hosts professional matches and major tournaments.
-
D.
Pizza Hut
Pizza Hut is a global American restaurant chain known for its pizza, pasta, and other Italian-American dishes, operating thousands of locations worldwide.
-
E.
Trattoria al Forno
Trattoria al Forno is an Italian-inspired restaurant at Walt Disney World known for its rustic cuisine and character dining experiences.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03ec3788190b5ae32201364f7ab |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6562c9448190b53c068c900bf0bf |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:47 p.m.