Triple
T971830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life on Earth |
E20960
|
entity |
| Predicate | filmingLocations |
P4373
|
FINISHED |
| Object | multiple continents |
—
|
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: multiple continents | Statement: [Life on Earth, filmingLocations, multiple continents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingLocations Context triple: [Life on Earth, filmingLocations, multiple continents]
-
A.
filmLocationFor
chosen
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
B.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
C.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
D.
placeOfRecording
Indicates the location where an audio, video, or other recording was made.
-
E.
oftenPhotographedAt
Indicates that an entity is frequently the subject of photographs taken at a particular location or during a specific event.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44c38f08190997e141d424e9e04 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.