Triple
T11591138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diplodocus |
E274881
|
entity |
| Predicate | famousSpecimen |
P30580
|
FINISHED |
| Object | Diplodocus carnegii mounted in many museums |
—
|
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: Diplodocus carnegii mounted in many museums | Statement: [Diplodocus, famousSpecimen, Diplodocus carnegii mounted in many museums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousSpecimen Context triple: [Diplodocus, famousSpecimen, Diplodocus carnegii mounted in many museums]
-
A.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
B.
famousImage
Indicates that an image is widely recognized or well-known, typically due to its prominence, popularity, or cultural significance.
-
C.
inscriptionFamousFor
Indicates that an inscription is widely recognized or notable specifically because of the referenced feature, event, content, or characteristic.
-
D.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
E.
famousVariant
chosen
Indicates that one entity is a well-known or widely recognized version or form of another entity.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.