Triple
T24056830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranthropus boisei |
E595828
|
entity |
| Predicate | originalSpeciesName |
P86350
|
FINISHED |
| Object | Zinjanthropus boisei |
—
|
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: Zinjanthropus boisei | Statement: [Paranthropus boisei, originalSpeciesName, Zinjanthropus boisei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSpeciesName Context triple: [Paranthropus boisei, originalSpeciesName, Zinjanthropus boisei]
-
A.
originSpecies
Indicates that one entity is the original or source species from which another entity is derived, evolved, or produced.
-
B.
originalBinomialName
chosen
Indicates that one entity is the original scientific (binomial) name that was first formally assigned to the other entity (typically a species or taxon).
-
C.
firstOwnerSpecies
Indicates that the subject is the species of the entity that originally owned or possessed the object.
-
D.
formerSpecies
Indicates that an entity was previously classified as a particular species but no longer holds that species status.
-
E.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da50d6108190a36bffaa475c8b93 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:34 p.m.