Triple
T17488761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Striped Tiger's clock |
E425843
|
entity |
| Predicate | setLocationType |
P115656
|
FINISHED |
| Object | indoor 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: indoor dwelling | Statement: [Daniel Striped Tiger's clock, setLocationType, indoor dwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setLocationType Context triple: [Daniel Striped Tiger's clock, setLocationType, indoor dwelling]
-
A.
settingLocationType
Indicates the type or category of location in which an event, action, or situation takes place.
-
B.
setLocation
Indicates assigning or updating the place or position where an entity is located.
-
C.
currentLocationType
chosen
Indicates the type or category of place where an entity is currently located.
-
D.
originalLocationType
Indicates the type or category of the place where something was originally located or came from.
-
E.
placementType
Indicates the specific manner or category in which something is positioned, arranged, or assigned within a given context.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d461308190844c143dcfb61fac |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.