Triple
T22564543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funnelbeaker culture |
E557910
|
entity |
| Predicate | characteristicArtifact |
P114238
|
FINISHED |
| Object | funnel-shaped pottery beakers |
—
|
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: funnel-shaped pottery beakers | Statement: [Funnelbeaker culture, characteristicArtifact, funnel-shaped pottery beakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicArtifact Context triple: [Funnelbeaker culture, characteristicArtifact, funnel-shaped pottery beakers]
-
A.
hasCharacteristicArtifact
chosen
Indicates that an entity is associated with a specific artifact that characterizes, exemplifies, or is typical of it.
-
B.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
C.
featuresArtifactsFrom
Indicates that one entity includes, presents, or showcases artifacts that originate from or are associated with another entity.
-
D.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
E.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.