Triple
T33509049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitāb al-Wuḥūsh |
E858189
|
entity |
| Predicate | typeOfAnimalsDescribed |
P179735
|
FINISHED |
| Object | desert fauna |
—
|
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: desert fauna | Statement: [Kitāb al-Wuḥūsh, typeOfAnimalsDescribed, desert fauna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAnimalsDescribed Context triple: [Kitāb al-Wuḥūsh, typeOfAnimalsDescribed, desert fauna]
-
A.
frozenZooDescription
Indicates that an entity provides a description or summary of a frozen zoo, typically detailing its preserved biological specimens or related information.
-
B.
mainAnimalGroup
chosen
Indicates the primary or most representative animal group associated with an entity or context.
-
C.
numberOfAnimals
Indicates the quantity of animals associated with a given entity or context.
-
D.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
E.
speciesDescription
Indicates a textual description that characterizes or explains the features, traits, or nature of a species.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00b7fb90f881908f73edf2be8cc3a5 |
completed | May 10, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_6a00b75593d08190b3e76191cd79cdec |
completed | May 10, 2026, 4:50 p.m. |
Created at: May 1, 2026, 1:38 a.m.