Triple
T111542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chordata |
E2257
|
entity |
| Predicate | typeSpecies |
P7381
|
FINISHED |
| Object | not applicable |
—
|
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: not applicable | Statement: [Chordata, typeSpecies, not applicable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeSpecies Context triple: [Chordata, typeSpecies, not applicable]
-
A.
scientificName
Indicates the formal taxonomic name assigned to an organism according to scientific naming conventions.
-
B.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
C.
eraName
Indicates the named historical or chronological era associated with an entity or time period.
-
D.
binomialName
Indicates the formal scientific name assigned to a species, typically composed of its genus and specific epithet.
-
E.
taxonRank
Indicates the formal hierarchical rank (such as species, genus, family, etc.) that a given taxon occupies within a biological classification system.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258b30f6c8190be2181f30c40e04d |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.