Triple
T30047303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shavertown, New York |
E763489
|
entity |
| Predicate | submergencePeriod |
P168388
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Shavertown, New York, submergencePeriod, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: submergencePeriod Context triple: [Shavertown, New York, submergencePeriod, mid-20th century]
-
A.
submergenceBegan
Indicates that the process of becoming submerged (typically in a fluid such as water) has started for the subject.
-
B.
submergenceCompleted
Indicates that the process of submerging an entity in a medium (such as liquid or water) has been fully completed.
-
C.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
D.
hasCauseOfSubmergence
Indicates a relationship where one entity is the cause or reason for another entity becoming submerged or underwater.
-
E.
partiallyInundatedSince
Indicates that an entity has been partially covered or flooded by water starting from a specific point in time and continuing thereafter.
- 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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a12ee4881908418a2814ac05db8 |
completed | May 2, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:54 p.m.