Triple
T22325111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eriin gurvan naadam |
E551881
|
entity |
| Predicate | archeryTarget |
P147739
|
FINISHED |
| Object | leather or wooden targets |
—
|
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: leather or wooden targets | Statement: [Eriin gurvan naadam, archeryTarget, leather or wooden targets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archeryTarget Context triple: [Eriin gurvan naadam, archeryTarget, leather or wooden targets]
-
A.
bowGunner
Indicates a relationship where an entity uses or operates a bow as a ranged weapon, typically in a combat or hunting context.
-
B.
shootingRange
Indicates that one entity serves as a location or facility where another entity engages in shooting activities, typically for practice or training.
-
C.
flightScope
Indicates a relationship where the extent, range, or coverage of a flight (such as its route, duration, or operational limits) is specified or constrained.
-
D.
aimingMethod
Indicates the technique or approach used to direct or aim an action, object, or effect toward a target.
-
E.
shootingDiscipline
Indicates the specific type or category of shooting activity or event in which an entity participates or is involved.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15767425481909547bfe294fe06de |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.