Triple
T25089723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg lion |
E628419
|
entity |
| Predicate | tailForm |
P3547
|
FINISHED |
| Object | queue fourchée |
—
|
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: queue fourchée | Statement: [Luxembourg lion, tailForm, queue fourchée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailForm Context triple: [Luxembourg lion, tailForm, queue fourchée]
-
A.
tailConfiguration
chosen
Indicates how the tail of an entity is arranged, structured, or positioned relative to the rest of that entity.
-
B.
tailSpan
Indicates the length or extent of an entity’s tail, typically measured from its base to its tip.
-
C.
tailLocation
Indicates the spatial position or placement of an entity’s tail relative to a reference frame or another object.
-
D.
tailCharacteristic
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
E.
tailSectionSharedWith
Indicates that two entities share the same tail section or are connected through a common tail segment.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e9b06c8190a44fd097da84c7cb |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:24 a.m.