Triple
T11266285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lane’s End Farm |
E266693
|
entity |
| Predicate | exportsHorsesTo |
P98832
|
FINISHED |
| Object | international racing markets |
—
|
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: international racing markets | Statement: [Lane’s End Farm, exportsHorsesTo, international racing markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportsHorsesTo Context triple: [Lane’s End Farm, exportsHorsesTo, international racing markets]
-
A.
acquiredHorsesFrom
Indicates that one entity obtained ownership or control of horses from another entity, typically through purchase, trade, or transfer.
-
B.
eligibleHorses
Indicates that certain horses meet the required conditions or criteria to qualify for a specified status, event, or action.
-
C.
featuresHorse
Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
-
D.
usesHorseType
Indicates that one entity employs, relies on, or operates using a specific type or category of horse.
-
E.
horseBreed
Indicates that one entity is a specific breed of the horse represented by the other entity.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94e5e3c8190a31995d55d20d7ed |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.