Triple
T25077153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Rock Cave |
E628080
|
entity |
| Predicate | artifactTypeFound |
P157618
|
FINISHED |
| Object | faunal remains |
—
|
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: faunal remains | Statement: [Fort Rock Cave, artifactTypeFound, faunal remains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artifactTypeFound Context triple: [Fort Rock Cave, artifactTypeFound, faunal remains]
-
A.
artifactTypeFound
chosen
Indicates that a specific type of artifact has been discovered or identified in association with a given context or location.
-
B.
artifactType
Indicates the specific kind or category of artifact that an entity is classified as.
-
C.
discoveredArtifact
Indicates that an entity has found or uncovered a previously unknown or hidden artifact.
-
D.
artifact
Indicates that one entity is an artifact created, modified, or used by another entity.
-
E.
featuresArtifactsFrom
Indicates that one entity includes, presents, or showcases artifacts that originate from or are associated with another entity.
- 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:21 a.m.