Triple
T1079245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robben Island |
E23909
|
entity |
| Predicate | militaryBaseClosed |
P14594
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Robben Island, militaryBaseClosed, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryBaseClosed Context triple: [Robben Island, militaryBaseClosed, 1996]
-
A.
nearMilitaryInstallation
Indicates that one entity is located in close physical proximity to a military installation or facility.
-
B.
closedAsActiveArmyPost
Indicates that a location or facility ceased operations specifically in its role as an active Army post.
-
C.
hasMilitaryBase
Indicates that one entity possesses, hosts, or contains a military base associated with or located on another entity.
-
D.
militaryUseEnd
chosen
Indicates the point in time or condition at which the military use of something (such as a facility, resource, or asset) ceases.
-
E.
decommissionedReason
Indicates the reason or cause for which an entity, typically an asset or system, was taken out of service or formally retired.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b943b41481909b24050ca7e78971 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.