Triple
T37602948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern live oaks |
E935572
|
entity |
| Predicate | evergreenIn |
P5989
|
FINISHED |
| Object | warm climates |
—
|
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: warm climates | Statement: [Southern live oaks, evergreenIn, warm climates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evergreenIn Context triple: [Southern live oaks, evergreenIn, warm climates]
-
A.
evergreen
Indicates that something remains persistently relevant, active, or unchanged over time, without becoming outdated or obsolete.
-
B.
evergreenHabit
chosen
Indicates that a plant maintains its foliage year-round rather than shedding leaves seasonally.
-
C.
greensGrass
Indicates that an entity (typically an animal) feeds on or consumes grass as its primary or regular food source.
-
D.
greenRepresents
Indicates that one entity uses the color green to symbolize, denote, or stand for another entity or concept.
-
E.
leafLongevity
Indicates the duration for which a leaf remains alive and functional before it senesces or is shed.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.