Triple
T6387865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room 40 |
E143744
|
entity |
| Predicate | typeOfBuildingSpace |
P70315
|
FINISHED |
| Object | office room in the Admiralty |
—
|
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: office room in the Admiralty | Statement: [Room 40, typeOfBuildingSpace, office room in the Admiralty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBuildingSpace Context triple: [Room 40, typeOfBuildingSpace, office room in the Admiralty]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
associatedSpaceFacility
Indicates that there is a relationship linking an entity to a specific space-related facility with which it is connected or involved.
-
C.
performanceSpaceType
Indicates the specific kind or category of space in which a performance or event takes place.
-
D.
campusFacilityType
Indicates the specific kind of facility a campus location is classified as (e.g., library, laboratory, residence hall).
-
E.
buildingTypeOfChamber
Indicates the type or category of building in which a given chamber is located or to which it belongs.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06869dfb88190aeb84c6c61414888 |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:34 p.m.