Triple
T19993124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian Tervuren |
E494110
|
entity |
| Predicate | femaleHeight |
P138258
|
FINISHED |
| Object | about 22–24 inches at the withers |
—
|
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 22–24 inches at the withers | Statement: [Belgian Tervuren, femaleHeight, about 22–24 inches at the withers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleHeight Context triple: [Belgian Tervuren, femaleHeight, about 22–24 inches at the withers]
-
A.
femaleHeightRangeCm
Indicates the range of heights, measured in centimeters, that is associated with female individuals.
-
B.
averageFemaleHeight
Indicates the typical or mean height value observed among female individuals in a given group or population.
-
C.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
D.
mastHeight
Indicates the height of a mast relative to a referenced object or measurement standard.
-
E.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:31 p.m.