Triple
T20274870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Wolf Woods |
E502984
|
entity |
| Predicate | animalCommonNameFeatured |
P139510
|
FINISHED |
| Object | red wolf |
—
|
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: red wolf | Statement: [Red Wolf Woods, animalCommonNameFeatured, red wolf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalCommonNameFeatured Context triple: [Red Wolf Woods, animalCommonNameFeatured, red wolf]
-
A.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
B.
animalClassFeatured
Indicates that a particular animal class is highlighted or prominently presented in relation to something (such as content, a display, or a context).
-
C.
animalOrderFeatured
Indicates that a particular animal order is highlighted or given special prominence in a specified context or collection.
-
D.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
E.
animalFamilyFeatured
Indicates that a particular animal family is highlighted or prominently presented in a given context or resource.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e30d4c8190a9e2d9efa0f741fc |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 10:32 a.m.