Triple
T17475754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citrullus lanatus |
E425533
|
entity |
| Predicate | waterContentOfFruit |
P18450
|
FINISHED |
| Object | high water content |
—
|
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: high water content | Statement: [Citrullus lanatus, waterContentOfFruit, high water content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterContentOfFruit Context triple: [Citrullus lanatus, waterContentOfFruit, high water content]
-
A.
fractionOfProduce
Indicates that one entity represents a fractional portion or share of another entity’s total produce.
-
B.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
C.
containsJuice
Indicates that one entity has juice inside it or as one of its contents.
-
D.
fruitEnclosure
Indicates a relationship where an enclosure, container, or structure is specifically used to hold, protect, or surround fruit.
-
E.
fruitCharacteristic
chosen
Indicates that a specified characteristic or property is attributed to a particular fruit.
- F. None of above.
Provenance (3 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bb7050819080e3873bcc8a950c |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.