Triple
T36072952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quercus velutina |
E1043412
|
entity |
| Predicate | leafColorAutumn |
P10587
|
FINISHED |
| Object | yellow-brown |
—
|
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: yellow-brown | Statement: [Quercus velutina, leafColorAutumn, yellow-brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafColorAutumn Context triple: [Quercus velutina, leafColorAutumn, yellow-brown]
-
A.
foliageSeasonalColor
chosen
Indicates the characteristic color that a plant’s foliage takes on during a particular season.
-
B.
typicalFallFoliageSeason
Indicates the time period during which fall foliage is normally at its peak or most characteristic in a given place.
-
C.
autumnFlushCharacteristics
Indicates the specific traits or behaviors associated with an entity’s autumn growth or activity phase.
-
D.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
E.
leafAppearanceSeason
Indicates the season or time of year during which a plant’s leaves typically emerge or are present.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.