Triple
T22568415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Palace |
E558012
|
entity |
| Predicate | hasFrontPlaza |
P129644
|
FINISHED |
| Object | ceremonial plaza |
—
|
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: ceremonial plaza | Statement: [Government Palace, hasFrontPlaza, ceremonial plaza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrontPlaza Context triple: [Government Palace, hasFrontPlaza, ceremonial plaza]
-
A.
hasPlaza
Indicates that an entity includes, contains, or is associated with a plaza as part of its structure or grounds.
-
B.
hasPublicSquareInFront
chosen
Indicates that a building or structure has a public square located directly in front of it.
-
C.
hasPlazaAbove
Indicates that one entity has a plaza located directly above it in a vertical or structural sense.
-
D.
hasAdjacentPlaza
Indicates that one place or structure is directly next to or bordering a plaza.
-
E.
hasPedestrianPlazaOn
Indicates that a pedestrian plaza is located on, or directly associated with, a specified surface, structure, or area.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fabb9f081908c33c8e2ddf18047 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.