Triple
T70057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa |
E1402
|
entity |
| Predicate | locatedOnPlanet |
P40
|
FINISHED |
| Object | Earth |
E687
|
NE 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: Earth | Statement: [Africa, locatedOnPlanet, Earth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earth Context triple: [Africa, locatedOnPlanet, Earth]
-
A.
Earth
chosen
Earth is the third planet from the Sun and the only known world to support life, characterized by vast oceans, diverse ecosystems, and a protective atmosphere.
-
B.
Moon
The Moon is Earth's only natural satellite, a rocky celestial body that orbits our planet and significantly influences tides, calendars, and human culture.
-
C.
Saturn
Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
-
D.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
E.
Merkur
Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f045d38819088f5f71e39fa1ee7 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c1b81a88190ba473b28dd88fdb8 |
completed | Feb. 28, 2026, 4:16 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.