Triple
T3453959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiatic lion |
E72856
|
entity |
| Predicate | iucnAssessmentYear |
P48315
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Asiatic lion, iucnAssessmentYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iucnAssessmentYear Context triple: [Asiatic lion, iucnAssessmentYear, 2016]
-
A.
marineProtectedAreaDesignationYear
Indicates the year in which an area was formally designated as a marine protected area.
-
B.
IUCNStatusSystem
Indicates the conservation status classification framework used to assign an IUCN threat category to a species or taxon.
-
C.
reclassificationYear
Indicates the year in which something was reassigned to a different category, status, or classification.
-
D.
conservationStatus
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
E.
EUaccessionYear
Indicates the year in which an entity formally joined the European Union as a member state.
- F. None of above. chosen
Provenance (4 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa457fc8190824ca00254e962f9 |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:16 p.m.