Triple
T5632630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsupialia |
E147868
|
entity |
| Predicate | hasLivingSpeciesCountApprox |
P6211
|
FINISHED |
| Object | about 330 species |
—
|
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: about 330 species | Statement: [Marsupialia, hasLivingSpeciesCountApprox, about 330 species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLivingSpeciesCountApprox Context triple: [Marsupialia, hasLivingSpeciesCountApprox, about 330 species]
-
A.
hasLivingSpecies
Indicates that an entity currently contains, supports, or is associated with one or more species that are alive or extant.
-
B.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
C.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
D.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
E.
hasExtinctSpecies
Indicates that at least one species associated with the subject entity is no longer extant (i.e., has gone extinct).
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0225e8e848190a9ccd48fc0d74e5c |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1f12ec8190b4b9d9ee31cabe19 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.