Triple
T4682954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pisa Cathedral complex |
E103846
|
entity |
| Predicate | hasMainAxis |
P43001
|
FINISHED |
| Object | east–west orientation of cathedral |
—
|
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: east–west orientation of cathedral | Statement: [Pisa Cathedral complex, hasMainAxis, east–west orientation of cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainAxis Context triple: [Pisa Cathedral complex, hasMainAxis, east–west orientation of cathedral]
-
A.
isMajorAxisFor
Indicates that something serves as the primary or longest axis that defines the main directional or structural orientation of another object or system.
-
B.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
C.
hasAxisConfiguration
chosen
Indicates that one entity specifies or defines the axis arrangement, orientation, or setup used by another entity.
-
D.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
E.
hasMainContrast
Indicates a primary opposing or differing relationship between two elements, highlighting the main point of contrast between them.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.