Triple
T33136364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiserliche Werft Danzig |
E848016
|
entity |
| Predicate | sisterYard |
P176132
|
FINISHED |
| Object | Kaiserliche Werft Kiel |
—
|
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: Kaiserliche Werft Kiel | Statement: [Kaiserliche Werft Danzig, sisterYard, Kaiserliche Werft Kiel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterYard Context triple: [Kaiserliche Werft Danzig, sisterYard, Kaiserliche Werft Kiel]
-
A.
sisterLine
Indicates that one entity is a sister of another within a family or genealogical relationship.
-
B.
sisterComplex
Indicates a strong, often excessive or romanticized emotional fixation or attraction that someone has toward their sister.
-
C.
sisterPillar
Indicates a relationship where one pillar is considered the sister (a closely related or counterpart structure) to another pillar.
-
D.
stepSister
Indicates that one person is the female child of a parent who is married to, but not the biological or adoptive parent of, another person, making her that person’s stepsister.
-
E.
sisterBase
Indicates that one entity is the sister of another, sharing at least one parent and being female relative to the other entity.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:27 a.m.