Triple
T15580441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubaea chilensis |
E374479
|
entity |
| Predicate | trunkAppearance |
P46315
|
FINISHED |
| Object | smooth, grey trunk |
—
|
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: smooth, grey trunk | Statement: [Jubaea chilensis, trunkAppearance, smooth, grey trunk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trunkAppearance Context triple: [Jubaea chilensis, trunkAppearance, smooth, grey trunk]
-
A.
trunkCharacteristic
chosen
Indicates a relationship where a specific characteristic or property is attributed to a trunk (such as that of a tree or similar object).
-
B.
trunkColorDesignation
Indicates the specified color assigned to the trunk of an object (such as a tree or similar structure).
-
C.
hasTrunk
Indicates that one entity possesses or is equipped with a trunk as a physical feature or component.
-
D.
trunkColorFamily
Indicates the general color category or family to which an object's trunk (such as a tree or vehicle trunk) belongs.
-
E.
trunkColorSharedWith
Indicates that two entities share the same trunk color.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.