Triple
T18244946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Magic |
E436924
|
entity |
| Predicate | foalCrop |
P131002
|
FINISHED |
| Object | 2015 North American foal crop |
—
|
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: 2015 North American foal crop | Statement: [Good Magic, foalCrop, 2015 North American foal crop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foalCrop Context triple: [Good Magic, foalCrop, 2015 North American foal crop]
-
A.
isCrop
Indicates that an entity functions as or is classified as an agricultural crop.
-
B.
usesCrop
Indicates that one entity employs or applies a particular crop for a specific purpose or function.
-
C.
cropMilk
Indicates that one entity extracts or expresses milk from another entity, typically by squeezing or manipulating it.
-
D.
notableCrop
Indicates that a particular crop is especially significant, prominent, or characteristic in relation to the referenced entity.
-
E.
includesCrop
Indicates that one entity (such as a field, farm, or agricultural area) contains or has within it a specified crop.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:33 a.m.