Triple
T7575760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbiformes |
E179358
|
entity |
| Predicate | cropMilk |
P77567
|
FINISHED |
| Object | desquamated epithelial cells from crop lining |
—
|
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: desquamated epithelial cells from crop lining | Statement: [Columbiformes, cropMilk, desquamated epithelial cells from crop lining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cropMilk Context triple: [Columbiformes, cropMilk, desquamated epithelial cells from crop lining]
-
A.
usesCrop
Indicates that one entity employs or applies a particular crop for a specific purpose or function.
-
B.
includesCrop
Indicates that one entity (such as a field, farm, or agricultural area) contains or has within it a specified crop.
-
C.
notableCrop
Indicates that a particular crop is especially significant, prominent, or characteristic in relation to the referenced entity.
-
D.
maskDesigner
Indicates that one entity is the designer or creator of a particular mask associated with another entity.
-
E.
includesCropType
Indicates that an entity contains or encompasses a specific type of crop within its scope or composition.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94a25148190b5b76e000e0336c4 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5b1a6a08190b9ff2bc8a7befe0d |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:51 p.m.