Triple
T22366237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Lankan leopard |
E552910
|
entity |
| Predicate | topPredatorIn |
P22946
|
FINISHED |
| Object | Sri Lankan terrestrial ecosystems |
—
|
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: Sri Lankan terrestrial ecosystems | Statement: [Sri Lankan leopard, topPredatorIn, Sri Lankan terrestrial ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topPredatorIn Context triple: [Sri Lankan leopard, topPredatorIn, Sri Lankan terrestrial ecosystems]
-
A.
apexPredatorIn
chosen
Indicates that an entity is the top predator within a specified environment, ecosystem, or location, facing no regular natural predators there.
-
B.
predators
Indicates a relationship where one organism hunts, kills, and consumes another organism as a food source.
-
C.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
-
D.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
-
E.
carnivorousType
Indicates that one entity is a type or category of organism that feeds primarily on other animals (is carnivorous).
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580074dc819091305ac7017000d3 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.