Triple
T1764908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Joseph’s Cathedral, Hanoi |
E38739
|
entity |
| Predicate | facadeFeature |
P31480
|
FINISHED |
| Object | twin bell towers |
—
|
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: twin bell towers | Statement: [St. Joseph’s Cathedral, Hanoi, facadeFeature, twin bell towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facadeFeature Context triple: [St. Joseph’s Cathedral, Hanoi, facadeFeature, twin bell towers]
-
A.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
B.
façadeOrientation
Indicates the directional orientation that a building’s façade faces relative to a reference (e.g., cardinal directions or a main street).
-
C.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
-
D.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
-
E.
featuresGroup
Indicates that an entity includes or is associated with a specific group as one of its features or components.
- F. None of above. chosen
Provenance (4 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab173830a481908b67928f16f5d999 |
completed | March 6, 2026, 6:04 p.m. |
Created at: March 4, 2026, 7:31 p.m.