Triple
T33639980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hood Gone Love It |
E861804
|
entity |
| Predicate | videoGameRadioStation |
P180184
|
FINISHED |
| Object | Radio Los Santos |
—
|
NE NERFINISHED |
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: Radio Los Santos | Statement: [Hood Gone Love It, videoGameRadioStation, Radio Los Santos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoGameRadioStation Context triple: [Hood Gone Love It, videoGameRadioStation, Radio Los Santos]
-
A.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
B.
alsoAirsGamesFrom
Indicates that a broadcaster or platform, in addition to its primary content, transmits or shows games originating from another source or entity.
-
C.
gamingSpace
Indicates a relationship where a space, area, or environment is designated or used specifically for gaming activities.
-
D.
seriesGame
Indicates that a game is part of, or belongs to, a particular series or franchise.
-
E.
games
Indicates that one entity participates in, is associated with, or is characterized by playing or engaging in games with another entity.
- F. None of above. chosen
Provenance (4 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:42 a.m.