Triple
T22910176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisenhower Tree |
E568566
|
entity |
| Predicate | ageAtRemoval |
P150197
|
FINISHED |
| Object | approximately 100 to 125 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: approximately 100 to 125 years | Statement: [Eisenhower Tree, ageAtRemoval, approximately 100 to 125 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtRemoval Context triple: [Eisenhower Tree, ageAtRemoval, approximately 100 to 125 years]
-
A.
ageAtShutdown
Indicates the age an entity had at the time it was shut down or ceased operation.
-
B.
ageAtDisappearance
Indicates the age an individual was when they disappeared.
-
C.
ageAtConversion
Indicates the age an entity was when a specified conversion event (such as a change of status, belief, or state) occurred.
-
D.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
E.
ageWhenFreed
Indicates the age an individual was at the time they were freed from a prior state of bondage, captivity, or restriction.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807350008190a057e8fb5c363c5f |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:42 p.m.