Triple
T26713251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oreopithecus |
E673478
|
entity |
| Predicate | estimatedBodyMass |
P7301
|
FINISHED |
| Object | approximately 30 kilograms |
—
|
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: approximately 30 kilograms | Statement: [Oreopithecus, estimatedBodyMass, approximately 30 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedBodyMass Context triple: [Oreopithecus, estimatedBodyMass, approximately 30 kilograms]
-
A.
maximumMaleBodyMass
Indicates the greatest recorded body mass among male individuals within a given group or species.
-
B.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
C.
physicalCharacteristics
Indicates that one entity has or describes the bodily or material attributes, features, or appearance of another entity.
-
D.
lionWeight
Indicates the weight or mass attributed to a lion.
-
E.
approximateMass
chosen
Indicates that one entity has a mass value that is an estimate or close approximation of the mass 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 3:36 a.m.