Triple
T36566040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesohippus |
E901979
|
entity |
| Predicate | bodySizeComparedToModernHorse |
P186048
|
FINISHED |
| Object | smaller |
—
|
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: smaller | Statement: [Mesohippus, bodySizeComparedToModernHorse, smaller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodySizeComparedToModernHorse Context triple: [Mesohippus, bodySizeComparedToModernHorse, smaller]
-
A.
brainSizeComparedToEarlierHorses
Indicates that the subject’s brain size is being compared to that of horses from an earlier time or ancestral stage.
-
B.
snoutLengthComparedToEarlierHorses
Indicates how the length of a horse’s snout compares to that of earlier horse species or ancestors.
-
C.
distinguishedFromHorsesBy
Indicates that one entity is characterized or identified by specific features that set it apart from horses.
-
D.
canineSizeRelativeToApes
Indicates how the size of an entity’s canine teeth compares to those of apes, typically in relative or proportional terms.
-
E.
angularHeightOfHorseHead
Indicates the angular measurement, as seen from a specific viewpoint, that spans the vertical extent of the horse’s head.
- F. None of above. chosen
Provenance (4 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.