Triple
T9287214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiphodontidae |
E223422
|
entity |
| Predicate | hasMemberTaxonType |
P45064
|
FINISHED |
| Object | early ungulates |
—
|
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: early ungulates | Statement: [Xiphodontidae, hasMemberTaxonType, early ungulates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberTaxonType Context triple: [Xiphodontidae, hasMemberTaxonType, early ungulates]
-
A.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
B.
hasClassifiedTaxon
Indicates that an entity has assigned or associated a specific taxonomic classification to another entity.
-
C.
hasSubtaxon
Indicates that one taxonomic group is a subordinate or included taxon within another taxonomic group.
-
D.
includesTaxaWith
chosen
Indicates that an entity contains or encompasses one or more specified taxa within its scope or membership.
-
E.
includesExampleTaxon
Indicates that a taxonomic group or concept contains a specific taxon used as an illustrative or representative example.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.