Triple
T9072539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahía de los Ángeles |
E217402
|
entity |
| Predicate | typicalSpeciesObserved |
P965
|
FINISHED |
| Object | whale shark |
—
|
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: whale shark | Statement: [Bahía de los Ángeles, typicalSpeciesObserved, whale shark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeciesObserved Context triple: [Bahía de los Ángeles, typicalSpeciesObserved, whale shark]
-
A.
notableSpecies
chosen
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
lessCommonSpecies
Indicates that one species is less common or less frequently observed than another species within a given context or environment.
-
C.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
D.
someSpeciesAre
Indicates that at least one member of a specified group or category belongs to, or can be classified as, a particular species.
-
E.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ffa04819086be5763133c5067 |
completed | April 1, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.