Triple
T4913080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panna National Park |
E110280
|
entity |
| Predicate | majorMammal |
P49509
|
FINISHED |
| Object | Bengal tiger |
—
|
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: Bengal tiger | Statement: [Panna National Park, majorMammal, Bengal tiger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorMammal Context triple: [Panna National Park, majorMammal, Bengal tiger]
-
A.
majorMammalGroups
Indicates that the related entities are classified into the primary evolutionary or taxonomic groupings of mammals.
-
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.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
D.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
E.
majorityOfVertebrates
Indicates that a specified property, condition, or characteristic holds for more than half of the members within the group of vertebrate animals.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9dc41481908c0c398852e6819c |
completed | March 20, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.