Triple
T29836048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitaker Museum of Motya |
E757659
|
entity |
| Predicate | hasArtifactOrigin |
P3654
|
FINISHED |
| Object | Motya archaeological site |
—
|
NE NERFINISHED |
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: Motya archaeological site | Statement: [Whitaker Museum of Motya, hasArtifactOrigin, Motya archaeological site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtifactOrigin Context triple: [Whitaker Museum of Motya, hasArtifactOrigin, Motya archaeological site]
-
A.
hasOriginIn
chosen
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
hasOriginFeature
Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
-
C.
hasArtisticOrigin
Indicates that something originates from, is derived from, or is rooted in an artistic source, style, or tradition.
-
D.
hasCharacteristicArtifact
Indicates that an entity is associated with a specific artifact that characterizes, exemplifies, or is typical of it.
-
E.
hasSignificantArtifact
Indicates that an entity possesses or is associated with an artifact that is of notable importance, influence, or relevance within a given context.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 29, 2026, 5:37 p.m.