Triple
T21951731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth |
E542085
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | the World |
—
|
NE NERFINISHED |
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: the World | Statement: [Earth, hasAlternativeName, the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the World Context triple: [Earth, hasAlternativeName, the World]
-
A.
the world
chosen
The world is the entire planet Earth and everything on it, encompassing its lands, oceans, peoples, and environments.
-
B.
World
World is an American public television network and programming service that focuses on documentary, news, and nonfiction content, often highlighting public affairs and global issues.
-
C.
World & Nation
World & Nation is a Los Angeles Times news section that covers major national and international events, politics, and global affairs.
-
D.
Internacional
Internacional is a major Brazilian football club based in Porto Alegre, renowned for its passionate fanbase and multiple national and international titles.
-
E.
Internacional
Internacional is the international news section of the Colombian newspaper El Espectador, covering global events and affairs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.