Triple
T31825018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snickers |
E812365
|
entity |
| Predicate | hasSpeciesTraits |
P48096
|
FINISHED |
| Object | short legs |
—
|
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: short legs | Statement: [Snickers, hasSpeciesTraits, short legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeciesTraits Context triple: [Snickers, hasSpeciesTraits, short legs]
-
A.
containsSpeciesWithTrait
Indicates that a collection or group includes at least one species that exhibits a specified trait.
-
B.
belongsToSpeciesWithTrait
chosen
Indicates that an entity is a member of a species that possesses a specified trait.
-
C.
hasSpeciesRole
Indicates that an entity plays a specific functional or categorical role within a particular species.
-
D.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
-
E.
hasFlagshipSpecies
Indicates that one entity (typically a site, region, or conservation program) is associated with or represented by a particular flagship species used to promote awareness or protection.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 30, 2026, 11:46 p.m.