Triple
T5412532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copernicus (lunar crater) |
E121044
|
entity |
| Predicate | countryOfNamingTradition |
P63295
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [Copernicus (lunar crater), countryOfNamingTradition, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfNamingTradition Context triple: [Copernicus (lunar crater), countryOfNamingTradition, international]
-
A.
nationalityInHumanWorld
Indicates that one entity has the specified national affiliation or citizenship within the context of the human world.
-
B.
hasNationalityTraditionally
Indicates that an entity is traditionally or historically associated with a particular nationality, regardless of current legal or formal citizenship status.
-
C.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
-
D.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
E.
nationalityInWorld
Indicates that an entity has a specific national affiliation or citizenship within the world context.
- F. None of above. chosen
Provenance (4 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bb3c0c81908711784bc865ff03 |
completed | March 20, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd865702ec8190831bde2c2a331f28 |
completed | March 20, 2026, 5:39 p.m. |
Created at: March 20, 2026, 2:05 p.m.