Triple
T36504878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyracotherium |
E899432
|
entity |
| Predicate | approximateHeightAtShoulder |
P200355
|
FINISHED |
| Object | about 20 centimeters |
—
|
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: about 20 centimeters | Statement: [Hyracotherium, approximateHeightAtShoulder, about 20 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateHeightAtShoulder Context triple: [Hyracotherium, approximateHeightAtShoulder, about 20 centimeters]
-
A.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
-
B.
hasShoulderDiameter
Indicates the diameter measurement of an entity’s shoulder region or shoulder-related feature.
-
C.
averageMaleShoulderHeight
Indicates the typical or mean shoulder height measured for male individuals within a given group or context.
-
D.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
E.
estimatedHeadHeightInMeters
Indicates the estimated vertical height of a person's head, measured in meters.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
| PDg | Predicate description generation | batch_69ff841f2f2081908d72d4f878c538a0 |
completed | May 9, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:10 p.m.