Triple
T5127359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Isle of Man |
E115615
|
entity |
| Predicate | triskelionType |
P62679
|
FINISHED |
| Object | three legs conjoined at the thigh |
—
|
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: three legs conjoined at the thigh | Statement: [Coat of arms of the Isle of Man, triskelionType, three legs conjoined at the thigh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triskelionType Context triple: [Coat of arms of the Isle of Man, triskelionType, three legs conjoined at the thigh]
-
A.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
-
B.
thirdRailType
Indicates the specific design or configuration type of a third rail used in an electrified railway system.
-
C.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
D.
artTriangleWith
Indicates a relationship where one entity forms or is associated with a triangle together with two other specified entities.
-
E.
coneType
Indicates the specific category or style of cone associated with an entity (e.g., type, shape, or design of the cone).
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:42 p.m.