Triple
T22934944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indochina dry forests |
E569554
|
entity |
| Predicate | hasCharacteristicMammal |
P49509
|
FINISHED |
| Object | Asian elephant |
—
|
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: Asian elephant | Statement: [Indochina dry forests, hasCharacteristicMammal, Asian elephant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacteristicMammal Context triple: [Indochina dry forests, hasCharacteristicMammal, Asian elephant]
-
A.
isMammal
Indicates that an entity belongs to the class of mammals, typically characterized by traits like warm-bloodedness, hair or fur, and milk production for offspring.
-
B.
hasMammalSpecies
chosen
Indicates that one entity includes, contains, or is associated with a particular mammal species as part of its composition, population, or classification.
-
C.
hasMammaryGlands
Indicates that the subject possesses mammary glands, typically used for producing milk to nourish offspring.
-
D.
isMammalType
Indicates that an entity belongs to a specific category or type within the broader class of mammals.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.