Triple
T33719581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | double cross of Lorraine |
E863973
|
entity |
| Predicate | hasLowerBar |
P81815
|
FINISHED |
| Object | longer horizontal bar |
—
|
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: longer horizontal bar | Statement: [double cross of Lorraine, hasLowerBar, longer horizontal bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerBar Context triple: [double cross of Lorraine, hasLowerBar, longer horizontal bar]
-
A.
hasLowerBarLength
Indicates that one entity’s bar length is shorter than the bar length of another entity.
-
B.
hasLowerPart
Indicates that one entity includes another entity as a component specifically located in its lower part or region.
-
C.
hasUpperBarLength
Indicates that an entity possesses an upper bar whose length is specified or constrained by the related value or object.
-
D.
hasLower
Indicates that one entity is positioned at a lower level, rank, or value relative to another entity.
-
E.
hasBars
chosen
Indicates that one entity possesses, contains, or is equipped with bars as a defining feature or component.
- F. None of above.
Provenance (3 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 1, 2026, 1:44 a.m.