Triple
T24056807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranthropus boisei |
E595828
|
entity |
| Predicate | fossilFoundInCountry |
P101004
|
FINISHED |
| Object | Tanzania |
—
|
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: Tanzania | Statement: [Paranthropus boisei, fossilFoundInCountry, Tanzania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fossilFoundInCountry Context triple: [Paranthropus boisei, fossilFoundInCountry, Tanzania]
-
A.
countryFossilsFound
chosen
Indicates that fossils have been discovered within the geographic boundaries of a given country.
-
B.
fossilsFoundOn
Indicates that fossils are discovered or located on a particular surface, layer, or object.
-
C.
fossilTypeLocality
Indicates the specific locality that serves as the reference site where the defining fossil specimen(s) of a particular fossil type were originally found.
-
D.
containsFossilsOf
Indicates that one entity (typically a geological formation, rock, or sample) includes fossil remains or traces belonging to another entity (an organism or taxon).
-
E.
fossilDiscoverer
Indicates the relationship in which an agent is the one who discovered or unearthed a particular fossil.
- 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.