Triple
T1764915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Joseph’s Cathedral, Hanoi |
E38739
|
entity |
| Predicate | mainFacadeOrientation |
P20200
|
FINISHED |
| Object | west |
—
|
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: west | Statement: [St. Joseph’s Cathedral, Hanoi, mainFacadeOrientation, west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainFacadeOrientation Context triple: [St. Joseph’s Cathedral, Hanoi, mainFacadeOrientation, west]
-
A.
façadeOrientation
chosen
Indicates the directional orientation that a building’s façade faces relative to a reference (e.g., cardinal directions or a main street).
-
B.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
C.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
D.
gateOrientation
Indicates the directional alignment or facing direction of a gate relative to a reference frame or coordinate system.
-
E.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
- 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_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. |
Created at: March 4, 2026, 7:31 p.m.