Triple
T9286408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babyrousa babyrussa |
E223403
|
entity |
| Predicate | tuskOrigin |
P35358
|
FINISHED |
| Object | upper canines |
—
|
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: upper canines | Statement: [Babyrousa babyrussa, tuskOrigin, upper canines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuskOrigin Context triple: [Babyrousa babyrussa, tuskOrigin, upper canines]
-
A.
hasTusk
chosen
Indicates that an entity possesses one or more tusks as a physical feature.
-
B.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
C.
originSpecies
Indicates that one entity is the original or source species from which another entity is derived, evolved, or produced.
-
D.
lionOrigin
Indicates that one entity is the geographical or contextual origin of a lion or group of lions.
-
E.
originBreeds
Indicates that one entity is the place or source from which another entity (typically a breed or type) originates or was developed.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0821b1108190b16e9570b09a14de |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.