Triple
T15214972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrah’s North Kansas City |
E363614
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Harrah’s |
E12403
|
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: Harrah’s | Statement: [Harrah’s North Kansas City, brand, Harrah’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrah’s Context triple: [Harrah’s North Kansas City, brand, Harrah’s]
-
A.
Harrah
Harrah is a small city in central Oklahoma known for its suburban-rural character and proximity to Oklahoma City.
-
B.
Harrah's Las Vegas
Harrah's Las Vegas is a casino hotel and entertainment resort located on the Las Vegas Strip, known for its lively atmosphere, gaming, and shows.
-
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.
Boyd Gaming
Boyd Gaming is a major American gaming and hospitality company that owns and operates numerous casinos, hotels, and entertainment properties across the United States.
-
E.
Caesars Entertainment
chosen
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.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.