Triple
T29426857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanner falcon |
E746316
|
entity |
| Predicate | usedInFalconry |
P163354
|
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: [Lanner falcon, usedInFalconry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInFalconry Context triple: [Lanner falcon, usedInFalconry, true]
-
A.
falconryUse
chosen
Indicates the use or practice of falconry involving one entity employing trained birds of prey for hunting or related activities with another entity.
-
B.
importanceInFalconry
Indicates the degree to which something holds significance, value, or centrality within the practice or context of falconry.
-
C.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
-
D.
isNonGameBird
Indicates that the subject is classified as a bird that is not hunted or managed as game.
-
E.
usedAnimal
Indicates that one entity employed or exploited an animal for a particular purpose or activity.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 28, 2026, 3:10 p.m.