Triple
T3502277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theropoda |
E73995
|
entity |
| Predicate | includesFeatheredTaxa |
P45064
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Theropoda, includesFeatheredTaxa, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFeatheredTaxa Context triple: [Theropoda, includesFeatheredTaxa, yes]
-
A.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
B.
hasBirdSpecies
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
C.
includesSpeciesFrom
Indicates that one collection, group, or set contains one or more species that originate from or belong to another specified source or context.
-
D.
includesTaxaWith
chosen
Indicates that an entity contains or encompasses one or more specified taxa within its scope or membership.
-
E.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbef47988190b5b3fe2e452b9ac8 |
completed | March 8, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.