Triple
T33096855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honesty Island |
E846931
|
entity |
| Predicate | diegeticLocationType |
P55822
|
FINISHED |
| Object | mental landscape element |
—
|
LITERAL 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: mental landscape element | Statement: [Honesty Island, diegeticLocationType, mental landscape element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diegeticLocationType Context triple: [Honesty Island, diegeticLocationType, mental landscape element]
-
A.
narrativeLocationType
chosen
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
B.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
notableGameLocation
Indicates that a particular place is recognized as a significant or prominent location within a game.
-
D.
locatedInBuildingUsedAs
Indicates that something is located inside a building that is being used for a specified purpose or function.
-
E.
oftenLocatedAt
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
- F. None of above.
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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a9d12881908087ba7b04049ec0 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.