Triple
T27208768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoratpithecus |
E683942
|
entity |
| Predicate | reconstructedBodySize |
P4143
|
FINISHED |
| Object | similar to modern orangutans |
—
|
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: similar to modern orangutans | Statement: [Khoratpithecus, reconstructedBodySize, similar to modern orangutans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructedBodySize Context triple: [Khoratpithecus, reconstructedBodySize, similar to modern orangutans]
-
A.
memberOfBodySize
Indicates that one entity is a component or part whose size contributes to or characterizes the overall body size of another entity.
-
B.
reconstructedHeight
Indicates the estimated original height of an entity as inferred or reconstructed from available evidence or data.
-
C.
maximumBodyLength
Indicates that there is an upper limit on the allowable length or size of a body (e.g., content, message, or object) in this relationship or action.
-
D.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
-
E.
reconstructedAs
chosen
Indicates that one entity has been rebuilt, recreated, or inferred based on evidence, models, or partial information from 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:38 a.m.