Triple
T24592314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kancamagus Pass |
E608568
|
entity |
| Predicate | typicalFallFoliageSeason |
P156478
|
FINISHED |
| Object | late September to mid-October |
—
|
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: late September to mid-October | Statement: [Kancamagus Pass, typicalFallFoliageSeason, late September to mid-October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFallFoliageSeason Context triple: [Kancamagus Pass, typicalFallFoliageSeason, late September to mid-October]
-
A.
foliageSeasonalColor
Indicates the characteristic color that a plant’s foliage takes on during a particular season.
-
B.
autumnFlushCharacteristics
Indicates the specific traits or behaviors associated with an entity’s autumn growth or activity phase.
-
C.
foliageCharacteristic
Indicates the specific traits or qualities of an entity’s foliage, such as its type, texture, color, or other distinguishing features.
-
D.
bloomSeason
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
E.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
- F. None of above. chosen
Provenance (4 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9dc63208190b70f57b9821a7241 |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:30 a.m.