Triple
T363676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PENN Entertainment |
E7911
|
entity |
| Predicate | formerlyKnownAs |
P65
|
FINISHED |
| Object | Penn National Gaming |
E7911
|
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: Penn National Gaming | Statement: [PENN Entertainment, formerlyKnownAs, Penn National Gaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penn National Gaming Context triple: [PENN Entertainment, formerlyKnownAs, Penn National Gaming]
-
A.
PENN Entertainment
chosen
PENN Entertainment is a major U.S. gaming and entertainment company that operates casinos, racetracks, and online betting platforms across North America.
-
B.
Caesars Entertainment
Caesars Entertainment is a major American gaming and hospitality company that owns and operates numerous casinos, hotels, and resorts across the United States and internationally.
-
C.
Wynn Resorts
Wynn Resorts is a luxury hotel and casino development company known for its high-end integrated resorts in Las Vegas and Macau.
-
D.
Empire City Casino
Empire City Casino is a major gaming and entertainment complex located in Yonkers, just north of New York City.
-
E.
Regal Entertainment Group
Regal Entertainment Group is one of the largest movie theater chains in the United States, operating multiplex cinemas across the country.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebd1016481909b8ba3b047a47145 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e86533a481909bab5f0b52114c6a |
completed | March 1, 2026, 7:19 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.