Triple
T27246695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufengpithecus |
E687364
|
entity |
| Predicate | continentOfFossilDiscovery |
P163464
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [Lufengpithecus, continentOfFossilDiscovery, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfFossilDiscovery Context triple: [Lufengpithecus, continentOfFossilDiscovery, Asia]
-
A.
fossilsFoundOnContinent
chosen
Indicates that fossils have been discovered or identified on a particular continent.
-
B.
continentFound
Indicates that a specified continent is the location where a particular entity is found or occurs.
-
C.
countryFossilsFound
Indicates that fossils have been discovered within the geographic boundaries of a given country.
-
D.
fossilsFoundOn
Indicates that fossils are discovered or located on a particular surface, layer, or object.
-
E.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 10:42 a.m.