Triple
T33533927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Lloyd Wright main building |
E858868
|
entity |
| Predicate | survivedDisaster |
P177816
|
FINISHED |
| Object | Great Kantō earthquake |
—
|
NE NERFINISHED |
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: Great Kantō earthquake | Statement: [Frank Lloyd Wright main building, survivedDisaster, Great Kantō earthquake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivedDisaster Context triple: [Frank Lloyd Wright main building, survivedDisaster, Great Kantō earthquake]
-
A.
survivedAccident
Indicates that an entity continued to live or remain unharmed after being involved in an accident.
-
B.
survivorsJourney
Indicates the ongoing process or path a survivor takes as they cope with, adapt to, and move forward from a traumatic or life-threatening experience.
-
C.
survivesShipwreck
Indicates that an entity continues to live or remain alive after experiencing a shipwreck.
-
D.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
E.
survivalTheme
Indicates that the relationship or situation centers on the struggle to stay alive or endure extreme hardship.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:39 a.m.