Triple
T31779004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Ferlini |
E811144
|
entity |
| Predicate | artifactsDiscovered |
P33591
|
FINISHED |
| Object | gold jewelry from pyramids of Meroë |
—
|
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: gold jewelry from pyramids of Meroë | Statement: [Giuseppe Ferlini, artifactsDiscovered, gold jewelry from pyramids of Meroë]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artifactsDiscovered Context triple: [Giuseppe Ferlini, artifactsDiscovered, gold jewelry from pyramids of Meroë]
-
A.
discoveredArtifact
chosen
Indicates that an entity has found or uncovered a previously unknown or hidden artifact.
-
B.
featuresArtifactsFrom
Indicates that one entity includes, presents, or showcases artifacts that originate from or are associated with another entity.
-
C.
artifactTypeFound
Indicates that a specific type of artifact has been discovered or identified in association with a given context or location.
-
D.
relicDiscovery
Indicates the event or relationship in which an entity finds or uncovers a relic.
-
E.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe3df6c8190ac4fb42c2a2034c9 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:35 p.m.