Triple
T31954326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Ojo de Liebre gray whale sanctuary |
E815862
|
entity |
| Predicate | seasonalUseBySpecies |
P60503
|
FINISHED |
| Object | winter use by gray whales |
—
|
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: winter use by gray whales | Statement: [Laguna Ojo de Liebre gray whale sanctuary, seasonalUseBySpecies, winter use by gray whales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalUseBySpecies Context triple: [Laguna Ojo de Liebre gray whale sanctuary, seasonalUseBySpecies, winter use by gray whales]
-
A.
hasSeasonalSpecies
chosen
Indicates that certain species are present or occur only during specific seasons in relation to a given context or location.
-
B.
usedSeasonallyBy
Indicates that something is utilized or employed by an entity only during specific seasons or times of the year.
-
C.
usedBySpecies
Indicates that something (such as an object, resource, or method) is utilized or employed by a particular species.
-
D.
seasonalCategory
Indicates that something is associated with, classified by, or relevant to a particular season or time of year.
-
E.
hasUseSeason
Indicates the season or time of year during which something is intended or suitable to be used.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 1, 2026, 12:08 a.m.