Triple
T33500353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlene Swankie |
E857969
|
entity |
| Predicate | modeOfLiving |
P12079
|
FINISHED |
| Object | van dwelling |
—
|
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: van dwelling | Statement: [Charlene Swankie, modeOfLiving, van dwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfLiving Context triple: [Charlene Swankie, modeOfLiving, van dwelling]
-
A.
hasFormOfLife
Indicates that one entity possesses, exhibits, or is associated with a particular form or type of life.
-
B.
lifeForm
Indicates that an entity is a living organism or belongs to a category of living organisms.
-
C.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
-
D.
lifeCharacteristic
Indicates that an entity possesses a particular trait, feature, or quality relevant to its life or living state.
-
E.
hasLivingEnvironment
chosen
Indicates that an entity exists or resides within a particular living environment or habitat.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e59a97a881908cca14409eb9e6e7 |
completed | May 3, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69f6e3db74c081909a991309d835d477 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:38 a.m.