Triple
T36189265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea eagle safaris |
E1046939
|
entity |
| Predicate | canIncludeSightingsOf |
P114231
|
FINISHED |
| Object | seals |
—
|
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: seals | Statement: [Sea eagle safaris, canIncludeSightingsOf, seals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canIncludeSightingsOf Context triple: [Sea eagle safaris, canIncludeSightingsOf, seals]
-
A.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
B.
possibleSightings
chosen
Indicates that there are reported or potential observations of one entity by another or at a particular place or time.
-
C.
includesSpeciesFrom
Indicates that one collection, group, or set contains one or more species that originate from or belong to another specified source or context.
-
D.
containsWildSpecies
Indicates that one entity includes, houses, or encompasses wild (non-domesticated) species within its scope or boundaries.
-
E.
hasProtectedSpecies
Indicates that the subject contains, supports, or is associated with one or more species that are legally or formally designated as protected.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.