Triple
T27252767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goulburn Valley |
E687527
|
entity |
| Predicate | usesPreservedFruit |
P168587
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Goulburn Valley, usesPreservedFruit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPreservedFruit Context triple: [Goulburn Valley, usesPreservedFruit, true]
-
A.
containsPreservatives
Indicates that one entity (typically a product or substance) includes added preservatives within it.
-
B.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
C.
fruitEnclosure
Indicates a relationship where an enclosure, container, or structure is specifically used to hold, protect, or surround fruit.
-
D.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
E.
containsArtificialPreservatives
Indicates that something includes one or more non-natural chemical substances added to extend shelf life or maintain qualities like flavor, color, or texture.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 10:46 a.m.