Triple
T31770206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hora 1921 (family concept historically associated) |
E810917
|
entity |
| Predicate | typeOfTaxonomicConcept |
P201622
|
FINISHED |
| Object | original family concept |
—
|
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: original family concept | Statement: [Hora 1921 (family concept historically associated), typeOfTaxonomicConcept, original family concept]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTaxonomicConcept Context triple: [Hora 1921 (family concept historically associated), typeOfTaxonomicConcept, original family concept]
-
A.
typeTaxonOf
Indicates that one entity is the taxonomic type (e.g., type species, type genus) that formally defines and represents the taxon of another entity.
-
B.
taxonType
Indicates the biological or taxonomic rank/category that characterizes a given taxon.
-
C.
usedTaxonomicConcept
Indicates that one entity applies or refers to a particular taxonomic concept when identifying, classifying, or interpreting another entity.
-
D.
fieldOfTaxon
Indicates the scientific or academic field in which a given taxon is studied or classified.
-
E.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a000efe971081909de03f875a7ad6cc |
completed | May 10, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a000c4ffe788190a5757af60aadd9f3 |
completed | May 10, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_6a000efdbe948190b4bfa9871aa1a7ee |
completed | May 10, 2026, 4:52 a.m. |
Created at: April 30, 2026, 11:33 p.m.