Triple
T19232822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civilian War Memorial, Singapore |
E480912
|
entity |
| Predicate | foundationStoneLaidOn |
P21127
|
FINISHED |
| Object | 1963-11-15 |
—
|
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: 1963-11-15 | Statement: [Civilian War Memorial, Singapore, foundationStoneLaidOn, 1963-11-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundationStoneLaidOn Context triple: [Civilian War Memorial, Singapore, foundationStoneLaidOn, 1963-11-15]
-
A.
foundationStoneLaid
chosen
Indicates that the initial, symbolic stone marking the start of constructing a building or structure has been formally placed.
-
B.
cornerstoneLaidBy
Indicates that the act of laying a building’s cornerstone was performed by a specified agent or entity.
-
C.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
stoneMaterial
Indicates that something is made of, or primarily composed of, stone as its material.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9fa7348190947129273d19c9a7 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.