Triple
T3506436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Training School 103 |
E74085
|
entity |
| Predicate | natureOfFacility |
P19019
|
FINISHED |
| Object | secret training facility |
—
|
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: secret training facility | Statement: [Special Training School 103, natureOfFacility, secret training facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfFacility Context triple: [Special Training School 103, natureOfFacility, secret training facility]
-
A.
facility
chosen
Indicates that one entity is a building, installation, or physical infrastructure used to host, support, or enable the operations or activities of another entity.
-
B.
campusFacilityType
Indicates the specific kind of facility a campus location is classified as (e.g., library, laboratory, residence hall).
-
C.
isNamedFacilityOf
Indicates that a facility bears the official name associated with a particular entity (such as an organization, person, or place).
-
D.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
E.
plannedFacility
Indicates that a facility is intended or scheduled to be built, established, or implemented in the future but does not yet exist or operate.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf52bd8819085a2ac5f48cc5c68 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.