Triple
T35210186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASPA 121 |
E1016651
|
entity |
| Predicate | hasPrimarySpeciesProtected |
P77745
|
FINISHED |
| Object | Adélie penguin |
E150835
|
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: Adélie penguin | Statement: [ASPA 121, hasPrimarySpeciesProtected, Adélie penguin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySpeciesProtected Context triple: [ASPA 121, hasPrimarySpeciesProtected, Adélie penguin]
-
A.
hasProtectedSpecies
chosen
Indicates that the subject contains, supports, or is associated with one or more species that are legally or formally designated as protected.
-
B.
hasProtectedHabitat
Indicates that an entity has a designated area or environment set aside and managed specifically for its protection or conservation.
-
C.
wildlifeProtectionStatus
Indicates the level or type of legal or conservation protection currently applied to wildlife.
-
D.
hasConservationConcernIn
Indicates that an entity is subject to a specified conservation concern status within a particular geographic area or jurisdiction.
-
E.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
- F. None of above.
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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a036f0569cc8190a8ac7f4e07145d15 |
completed | May 12, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38040807d48190bb7cf537242c2312 |
completed | June 21, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_6a036c42cf2481908760c7d48b9fc001 |
completed | May 12, 2026, 6:06 p.m. |
Created at: May 3, 2026, 4:02 p.m.