Triple
T25595714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walking Lion |
E641645
|
entity |
| Predicate | anatomicalDetail |
P158883
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Walking Lion, anatomicalDetail, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anatomicalDetail Context triple: [Walking Lion, anatomicalDetail, high]
-
A.
anatomicalFeature
Indicates that one entity is an anatomical part, structure, or feature of another entity.
-
B.
anatomicalType
Indicates that one entity is classified as a specific anatomical category or kind of anatomical structure in relation to another.
-
C.
anatomicalMainGroup
Indicates that one anatomical structure belongs to or is classified under a primary anatomical grouping or system.
-
D.
limbMorphology
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
-
E.
describedHumanBodySystematically
Indicates that one entity has provided a systematic, organized description or account of the human body.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a251cc8190b2632bc5f9b4ca90 |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 4:27 p.m.