Triple
T11543717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kehjistan |
E273732
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Stinging Winds
Stinging Winds is an arid, wind-scoured desert region within the land of Kehjistan in the Diablo universe, known for its harsh climate and dangerous roaming creatures.
|
E932591
|
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: Stinging Winds | Statement: [Kehjistan, hasRegion, Stinging Winds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stinging Winds Context triple: [Kehjistan, hasRegion, Stinging Winds]
-
A.
Whirlwinds
Whirlwinds is a water slide attraction located within the Splash Works water park.
-
B.
Savage Breeze
Savage Breeze is an abstract expressionist painting by American artist Helen Frankenthaler, exemplifying her pioneering soak-stain technique.
-
C.
The Wind and Beyond
The Wind and Beyond is a seminal work on aerodynamics and aerospace engineering authored by pioneering physicist and engineer Theodore von Kármán.
-
D.
Warm Winds
Warm Winds is a musical group known for its smooth, melodic sound and evocative, atmospheric compositions.
-
E.
Sorrow in the Wind
"Sorrow in the Wind" is a country song best known from Emmylou Harris’s 1979 album *Blue Kentucky Girl*, showcasing her plaintive vocals and traditional country style.
- 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: Stinging Winds Triple: [Kehjistan, hasRegion, Stinging Winds]
Generated description
Stinging Winds is an arid, wind-scoured desert region within the land of Kehjistan in the Diablo universe, known for its harsh climate and dangerous roaming creatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stinging Winds Target entity description: Stinging Winds is an arid, wind-scoured desert region within the land of Kehjistan in the Diablo universe, known for its harsh climate and dangerous roaming creatures.
-
A.
Whirlwinds
Whirlwinds is a water slide attraction located within the Splash Works water park.
-
B.
Savage Breeze
Savage Breeze is an abstract expressionist painting by American artist Helen Frankenthaler, exemplifying her pioneering soak-stain technique.
-
C.
The Wind and Beyond
The Wind and Beyond is a seminal work on aerodynamics and aerospace engineering authored by pioneering physicist and engineer Theodore von Kármán.
-
D.
Warm Winds
Warm Winds is a musical group known for its smooth, melodic sound and evocative, atmospheric compositions.
-
E.
Sorrow in the Wind
"Sorrow in the Wind" is a country song best known from Emmylou Harris’s 1979 album *Blue Kentucky Girl*, showcasing her plaintive vocals and traditional country style.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685cc855881908ea96d84c76e3a4d |
completed | April 20, 2026, 8 p.m. |
| NEDg | Description generation | batch_69e68fd8dcf08190b9e0cc7f868cb6a0 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6c10910548190b863e6f4a9a81ac3 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.