Triple
T1687455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Vegas, Nevada |
E36474
|
entity |
| Predicate | hasCasino |
P24207
|
FINISHED |
| Object | Paris Las Vegas |
E147665
|
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: Paris Las Vegas | Statement: [Las Vegas, Nevada, hasCasino, Paris Las Vegas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Las Vegas Context triple: [Las Vegas, Nevada, hasCasino, Paris Las Vegas]
-
A.
Paris Las Vegas
chosen
Paris Las Vegas is a French-themed hotel and casino on the Las Vegas Strip, known for its replica Eiffel Tower and Parisian-style architecture.
-
B.
Caesars Palace
Caesars Palace is a famous luxury hotel and casino on the Las Vegas Strip, known for its opulent Roman-inspired architecture and major entertainment events.
-
C.
Luxor Las Vegas
Luxor Las Vegas is an Egyptian-themed hotel and casino on the Las Vegas Strip, known for its iconic pyramid shape and powerful sky beam.
-
D.
Mandalay Bay
Mandalay Bay is a major luxury resort and casino located on the Las Vegas Strip, known for its large pool complex, entertainment venues, and distinctive gold-colored tower.
-
E.
Las Vegas Strip
The Las Vegas Strip is a famous stretch of Las Vegas Boulevard known for its large casino resorts, luxury hotels, and vibrant entertainment venues.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6294f5ac819089cf5c2530ec71a0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1afd1ac8190862ca355eec09e4a |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:29 p.m.