Triple
T2764397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermit thrush |
E61299
|
entity |
| Predicate | recognizedSubspeciesCount |
P43004
|
FINISHED |
| Object | multiple subspecies |
—
|
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: multiple subspecies | Statement: [Hermit thrush, recognizedSubspeciesCount, multiple subspecies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedSubspeciesCount Context triple: [Hermit thrush, recognizedSubspeciesCount, multiple subspecies]
-
A.
subspeciesOf
Indicates that one taxonomic group is a subspecific rank within, and directly derived from, another species.
-
B.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
C.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
D.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
-
E.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
- F. None of above. chosen
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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddcc348081908b5f760899389d4f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:57 p.m.