Triple
T6913734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch lion |
E159996
|
entity |
| Predicate | holdsInSinisterPaw |
P74111
|
FINISHED |
| Object | bundle of seven arrows in national arms |
—
|
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: bundle of seven arrows in national arms | Statement: [Dutch lion, holdsInSinisterPaw, bundle of seven arrows in national arms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsInSinisterPaw Context triple: [Dutch lion, holdsInSinisterPaw, bundle of seven arrows in national arms]
-
A.
holdsHuck
Indicates that one entity is physically holding or carrying Huck.
-
B.
heldThat
Indicates that an entity (often a person or authority) maintained, asserted, or concluded that a particular proposition or judgment is true.
-
C.
lionArmedAndLangued
Indicates that a lion is depicted with its claws and tongue emphasized, typically by being shown and colored distinctly.
-
D.
clawDescription
Indicates that one entity provides a descriptive account or characterization of a claw or claw-like feature of another entity.
-
E.
heldAs
Indicates that one entity is kept, maintained, or regarded in a particular state, role, or condition by another 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dbca6c819091d8b65e54ada5d9 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:25 p.m.