Triple
T28713226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George C. Reifel Migratory Bird Sanctuary |
E729878
|
entity |
| Predicate | approximateNumberOfBirdSpeciesRecorded |
P6211
|
FINISHED |
| Object | over 250 |
—
|
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: over 250 | Statement: [George C. Reifel Migratory Bird Sanctuary, approximateNumberOfBirdSpeciesRecorded, over 250]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfBirdSpeciesRecorded Context triple: [George C. Reifel Migratory Bird Sanctuary, approximateNumberOfBirdSpeciesRecorded, over 250]
-
A.
isMostNumerousBirdSpecies
Indicates that the subject bird species has the largest population size compared to all other bird species in the relevant context.
-
B.
birdDiversity
Indicates the variety and richness of different bird species present within a given area, community, or dataset.
-
C.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
D.
hasBirdSpecies
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
E.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.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 28, 2026, 5:49 a.m.