Triple
T2202671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral Basilica of Saints Peter and Paul |
E50525
|
entity |
| Predicate | hasSpireQuantity |
P23712
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Cathedral Basilica of Saints Peter and Paul, hasSpireQuantity, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpireQuantity Context triple: [Cathedral Basilica of Saints Peter and Paul, hasSpireQuantity, 0]
-
A.
hasSpireCount
chosen
Indicates the number of spires that an entity possesses or features.
-
B.
hasKeyQuantity
Indicates that an entity is associated with a primary or defining quantity that characterizes or measures it.
-
C.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
-
D.
hasExpansionSetNumber
Indicates that an entity is associated with a specific numbered position or identifier within an expansion set.
-
E.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa33f0881908403604eafb73ecf |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.