Triple
T12249388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverland |
E291932
|
entity |
| Predicate | hasKeyCrop |
P103717
|
FINISHED |
| Object | grapes |
—
|
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: grapes | Statement: [Riverland, hasKeyCrop, grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCrop Context triple: [Riverland, hasKeyCrop, grapes]
-
A.
hasKeyImage
Indicates that one entity is designated as the primary or representative image associated with another entity.
-
B.
hasKeyFigure
Indicates that an entity includes, involves, or is characterized by an important or central person relevant to it.
-
C.
hasKeyPoint
Indicates that one entity includes, contains, or is associated with a specific key point or main idea represented by another entity.
-
D.
hasKeyPass
Indicates that an entity possesses or is granted a key-based pass that allows access or authorization to something.
-
E.
hasKeyCenter
Indicates that one entity serves as the primary tonal or central pitch reference (key center) for another entity, such as a musical passage 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:52 p.m.