Triple
T33745577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuol Svay Prey High School |
E864688
|
entity |
| Predicate | buildingTypeBefore1975 |
P59354
|
FINISHED |
| Object | educational institution |
—
|
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: educational institution | Statement: [Tuol Svay Prey High School, buildingTypeBefore1975, educational institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingTypeBefore1975 Context triple: [Tuol Svay Prey High School, buildingTypeBefore1975, educational institution]
-
A.
housingTypeHistoric
Indicates that an entity’s housing type is classified based on historical or heritage-related characteristics.
-
B.
typeOfBuildingRestored
Indicates that a particular type of building has undergone restoration or renovation.
-
C.
originalBuildingType
chosen
Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
numberOfNewTraditionalStyleBuildings
Indicates the count of newly constructed buildings that follow a traditional architectural style.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb5e47808190afb4436a81c41cfc |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96ea0c08190902a3d0e1f263e8c |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.