Triple
T26705956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avemetatarsalia |
E673288
|
entity |
| Predicate | containsFlyingVertebrates |
P187364
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Avemetatarsalia, containsFlyingVertebrates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFlyingVertebrates Context triple: [Avemetatarsalia, containsFlyingVertebrates, true]
-
A.
hasBirdSpecies
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
B.
isFlightless
Indicates that the subject lacks the ability to fly, either naturally or due to specific conditions.
-
C.
hasFeatheredMembers
Indicates that at least some members of a group or category possess feathers.
-
D.
isLandBird
Indicates that the subject is a bird species that primarily lives on land rather than in aquatic or marine environments.
-
E.
includesAirBreathingSpecies
Indicates that the referenced group, area, or collection contains at least one species that breathes air.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: April 27, 2026, 3:34 a.m.