Triple
T7103909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John’s Cross (replica on site) |
E165526
|
entity |
| Predicate | hasInsularArtFeatures |
P68894
|
FINISHED |
| Object | interlace ornament |
—
|
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: interlace ornament | Statement: [St John’s Cross (replica on site), hasInsularArtFeatures, interlace ornament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInsularArtFeatures Context triple: [St John’s Cross (replica on site), hasInsularArtFeatures, interlace ornament]
-
A.
hasArtFeature
chosen
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
B.
hasArtFacilities
Indicates that an entity provides or is equipped with facilities or resources dedicated to art-related activities.
-
C.
hasIslandArc
Indicates that one geographic or geological entity possesses or is associated with an island arc feature.
-
D.
hasHeritageFeature
Indicates that an entity possesses or includes a feature recognized as part of cultural, historical, or natural heritage.
-
E.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.