Triple
T15055170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leptoceratops gracilis |
E379468
|
entity |
| Predicate | forelimbStructure |
P26649
|
FINISHED |
| Object | short but strong forelimbs |
—
|
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: short but strong forelimbs | Statement: [Leptoceratops gracilis, forelimbStructure, short but strong forelimbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forelimbStructure Context triple: [Leptoceratops gracilis, forelimbStructure, short but strong forelimbs]
-
A.
forelimbFunction
Indicates the functional role or use of an entity’s forelimbs in performing actions or behaviors.
-
B.
limbMorphology
chosen
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
-
C.
hasForelimbs
Indicates that an entity possesses front limbs or appendages used for movement, manipulation, or support.
-
D.
limbType
Indicates the specific kind or category of limb associated with an entity (e.g., arm, leg, wing, fin).
-
E.
limbCount
Indicates the number of limbs an entity possesses.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:01 a.m.