Triple
T669155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Sea flood of 1953 |
E12932
|
entity |
| Predicate | livestockLostNetherlands |
P18128
|
FINISHED |
| Object | over 200000 animals |
—
|
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: over 200000 animals | Statement: [North Sea flood of 1953, livestockLostNetherlands, over 200000 animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livestockLostNetherlands Context triple: [North Sea flood of 1953, livestockLostNetherlands, over 200000 animals]
-
A.
notableDomesticatedSpecies
Indicates that the subject is a species that is particularly well-known or significant as a domesticated animal.
-
B.
areEndangeredIn
Indicates that the entities are classified as endangered within a specified geographic area or jurisdiction.
-
C.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
D.
usedAnimal
Indicates that one entity employed or exploited an animal for a particular purpose or activity.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ffbe09881909b547a52a6b34c7f |
completed | March 1, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69a49d18942c819083b3d1887e505900 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49fcf0cb4819096edea4037ca2c03 |
completed | March 1, 2026, 8:21 p.m. |
Created at: March 1, 2026, 7:36 p.m.