Triple
T6396043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Tène culture |
E143942
|
entity |
| Predicate | typicalArtifact |
P36040
|
FINISHED |
| Object | sword |
—
|
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: sword | Statement: [La Tène culture, typicalArtifact, sword]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalArtifact Context triple: [La Tène culture, typicalArtifact, sword]
-
A.
artifact
chosen
Indicates that one entity is an artifact created, modified, or used by another entity.
-
B.
centralArtifact
Indicates that an artifact serves as the primary or focal object within a given context, structure, or collection.
-
C.
discoveredArtifact
Indicates that an entity has found or uncovered a previously unknown or hidden artifact.
-
D.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068953968819083a94f5de3e11819 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.