Triple
T6998982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Lottery |
E162286
|
entity |
| Predicate | offersGame |
P73493
|
FINISHED |
| Object |
Hot Spot
Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
|
E634529
|
NE FINISHED |
How this triple was built (4 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: Hot Spot | Statement: [California State Lottery, offersGame, Hot Spot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Spot Context triple: [California State Lottery, offersGame, Hot Spot]
-
A.
Hotspot
"Hotspot" is a 2020 synth-pop album by English duo Pet Shop Boys, noted for its reflective lyrics and production by Stuart Price.
-
B.
Hot Stove
Hot Stove is a Major League Baseball Network studio show that focuses on offseason news, trades, rumors, and analysis.
-
C.
Hot Stuff
"Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
-
D.
Heat Wave
"Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
-
E.
Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hot Spot Triple: [California State Lottery, offersGame, Hot Spot]
Generated description
Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hot Spot Target entity description: Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
-
A.
Hotspot
"Hotspot" is a 2020 synth-pop album by English duo Pet Shop Boys, noted for its reflective lyrics and production by Stuart Price.
-
B.
Hot Stove
Hot Stove is a Major League Baseball Network studio show that focuses on offseason news, trades, rumors, and analysis.
-
C.
Hot Stuff
"Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
-
D.
Heat Wave
"Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
-
E.
Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
- F. None of above. chosen
Provenance (5 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d144648190b7e6558246b013e3 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2c510c8190b7c86f8b399388ae |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b1d881481908ef5a6614246ca1e |
completed | March 28, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76be95ecc8190a57ff197f236d434 |
completed | March 28, 2026, 5:49 a.m. |
Created at: March 27, 2026, 2:33 p.m.