Triple
T29845665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bise Fukugi Tree Road |
E757921
|
entity |
| Predicate | treeAge |
P45717
|
FINISHED |
| Object | several hundred years |
—
|
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: several hundred years | Statement: [Bise Fukugi Tree Road, treeAge, several hundred years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeAge Context triple: [Bise Fukugi Tree Road, treeAge, several hundred years]
-
A.
treeLongevity
chosen
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
B.
ageClassOfTrees
Indicates the classification of trees based on their age or developmental stage.
-
C.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
-
D.
yearPassed
Indicates that a specified number of calendar years has elapsed between two time points or events.
-
E.
yearTurned
Indicates the specific year in which an entity changed state, status, or classification (e.g., when it became, reached, or turned into something).
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6760cbbcc81908cb6522f8eb38000 |
completed | May 2, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:41 p.m.