Triple
T11907269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnotaurus |
E283301
|
entity |
| Predicate | handMorphology |
P26649
|
FINISHED |
| Object | four fingers with reduced mobility |
—
|
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: four fingers with reduced mobility | Statement: [Carnotaurus, handMorphology, four fingers with reduced mobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handMorphology Context triple: [Carnotaurus, handMorphology, four fingers with reduced mobility]
-
A.
limbMorphology
chosen
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
-
B.
hasLimb
Indicates that an entity possesses a specific limb as part of its body.
-
C.
handCondition
Indicates the state or quality of a hand, such as its health, functionality, or any specific condition affecting it.
-
D.
handPosition
Indicates the spatial location or orientation of a hand relative to a reference point or object.
-
E.
limbType
Indicates the specific kind or category of limb associated with an entity (e.g., arm, leg, wing, fin).
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.