Triple
T1479696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusa Tenggara |
E30923
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Komodo dragons |
E124635
|
NE 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: Komodo dragons | Statement: [Nusa Tenggara, knownFor, Komodo dragons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komodo dragons Context triple: [Nusa Tenggara, knownFor, Komodo dragons]
-
A.
Komodo dragon
chosen
The Komodo dragon is the world’s largest living lizard, a powerful carnivorous reptile native to a few Indonesian islands.
-
B.
Komodo
Komodo is an Indonesian island best known as the natural habitat of the Komodo dragon and a key part of Komodo National Park.
-
C.
Burmese python
The Burmese python is a large, nonvenomous constrictor snake native to Southeast Asia that has become a highly destructive invasive species in the Florida Everglades.
-
D.
Nile crocodile
The Nile crocodile is a large and aggressive African crocodilian known for inhabiting rivers, lakes, and wetlands and being one of the continent’s most formidable predators.
-
E.
Lagarto
Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c674cc9c819088fc9146c7a7a914 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1ca21f288190b5f6f9a5895cdcf0 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:11 p.m.