Triple
T32627060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charter Oak |
E834086
|
entity |
| Predicate | ageAtFelling |
P150197
|
FINISHED |
| Object | several centuries old |
—
|
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 centuries old | Statement: [Charter Oak, ageAtFelling, several centuries old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtFelling Context triple: [Charter Oak, ageAtFelling, several centuries old]
-
A.
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.
-
B.
treeLongevity
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
C.
ageClassOfTrees
Indicates the classification of trees based on their age or developmental stage.
-
D.
ageAtRemoval
chosen
Indicates the age an entity had at the time it was removed from a particular context, status, or location.
-
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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:06 a.m.