Triple
T3631187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepler (Martian crater) |
E76958
|
entity |
| Predicate | isNamedForNationality |
P17299
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Kepler (Martian crater), isNamedForNationality, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedForNationality Context triple: [Kepler (Martian crater), isNamedForNationality, German]
-
A.
namedForNationality
chosen
Indicates that something is named after or in reference to a particular nationality or national identity.
-
B.
isNamedFor
Indicates that one entity bears its name in honor of, or derived from, another entity.
-
C.
namedForNationalityOfHonouree
Indicates that something is named in honor of a person, specifically referencing that person's nationality.
-
D.
recognizedAsNationalityInCensusOf
Indicates that an entity was officially recorded or classified as having a particular nationality in the census conducted by a specified authority or at a specified time.
-
E.
hasEponymCitizenship
Indicates that an entity’s eponym (the person or figure it is named after) holds or held a particular citizenship or national affiliation.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30136e88190922bb542971b5239 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.