Triple
T11088804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USAG Humphreys |
E262193
|
entity |
| Predicate | hasTypeOfInstallation |
P17153
|
FINISHED |
| Object | overseas U.S. Army garrison |
—
|
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: overseas U.S. Army garrison | Statement: [USAG Humphreys, hasTypeOfInstallation, overseas U.S. Army garrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfInstallation Context triple: [USAG Humphreys, hasTypeOfInstallation, overseas U.S. Army garrison]
-
A.
typeOfInstallation
chosen
Indicates the specific kind or category of installation associated with an entity (e.g., how or in what form something is installed).
-
B.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
C.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
D.
hasMajorInstallation
Indicates that one entity possesses, hosts, or contains a primary or significant facility, base, or installation of another entity.
-
E.
associatedInstallation
Indicates a relationship where one entity is linked to, or occurs in connection with, a particular installation (such as a facility, system, or setup) with which it is contextually or functionally related.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.