Triple
T22360656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Walking Horse |
E552769
|
entity |
| Predicate | hasAverageHeightHands |
P37840
|
FINISHED |
| Object | 14.3–17 |
—
|
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: 14.3–17 | Statement: [Tennessee Walking Horse, hasAverageHeightHands, 14.3–17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageHeightHands Context triple: [Tennessee Walking Horse, hasAverageHeightHands, 14.3–17]
-
A.
armLength
Indicates that one entity’s arm has a specified length or that there is a measured distance corresponding to the length of an arm.
-
B.
averageHeight
chosen
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
C.
carriedInRightOrLeftHand
Indicates that an entity is being held and transported either in the right hand or in the left hand of an agent.
-
D.
reachInInches
Indicates the distance an entity can extend or reach, measured in inches.
-
E.
hasNumberOfHands
Indicates the specific count of hands that an entity possesses.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d3852c819082518851568e1b51 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.