Triple
T33786265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Quarter Horse |
E865795
|
entity |
| Predicate | typicalDistanceSpecialty |
P206674
|
FINISHED |
| Object | quarter mile |
—
|
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: quarter mile | Statement: [American Quarter Horse, typicalDistanceSpecialty, quarter mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDistanceSpecialty Context triple: [American Quarter Horse, typicalDistanceSpecialty, quarter mile]
-
A.
distanceSpecialty
Indicates a relationship where an entity’s specialty or expertise is specifically in the field or domain of distance (e.g., distance learning, distance measurement, or distance-related services).
-
B.
distanceSpecialism
Indicates a relationship where an entity’s area of specialization is specifically in distance-related aspects (such as distance measurement, analysis, or optimization) within a broader domain.
-
C.
specializedDistance
Indicates a relationship where the distance between entities is measured or defined using a specific, non-standard metric or specialized criterion.
-
D.
isConsideredSpecialtyOf
Indicates that one field, practice, or area of expertise is regarded as a specialized branch or subset of another broader field.
-
E.
matchTypeSpecialty
Indicates that two entities are related through a specific type of match based on a particular specialty or area of expertise.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:45 a.m.