Triple
T12318443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquifoliales |
E293664
|
entity |
| Predicate | containsWoodyFamilies |
P3600
|
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: [Aquifoliales, containsWoodyFamilies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsWoodyFamilies Context triple: [Aquifoliales, containsWoodyFamilies, true]
-
A.
isWoody
Indicates that one entity possesses the characteristics or qualities of wood, such as being made of or resembling wood in nature.
-
B.
containsFamily
chosen
Indicates that one entity includes or encompasses members of a particular family group within it.
-
C.
hasFictionalFamily
Indicates that an entity is associated with a family that exists only within a fictional or imaginary context.
-
D.
familyClass
Indicates that an entity belongs to, or is categorized within, a particular family grouping or class in a familial or taxonomic hierarchy.
-
E.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.