Triple
T35772628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhinoclemmys |
E1034204
|
entity |
| Predicate | shellPatternFunction |
P8151
|
FINISHED |
| Object | camouflage in forest floor habitats |
—
|
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: camouflage in forest floor habitats | Statement: [Rhinoclemmys, shellPatternFunction, camouflage in forest floor habitats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shellPatternFunction Context triple: [Rhinoclemmys, shellPatternFunction, camouflage in forest floor habitats]
-
A.
languagePattern
Indicates a recurring or structured way in which language is used, organized, or formed within a given context.
-
B.
termPattern
Indicates a relationship where one term follows or matches a specific structural or lexical pattern defined by another term or template.
-
C.
hasPattern
chosen
Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
-
D.
patternSupport
Indicates that one entity provides evidence, validation, or reinforcement for the existence, correctness, or applicability of a particular pattern associated with another entity.
-
E.
flagPattern
Indicates that one entity has a flag whose design or pattern matches or represents the other entity.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1f927d08190bd236e0afb3d2bcb |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.