Triple
T6701862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alborán Island |
E152897
|
entity |
| Predicate | hasInhabitantType |
P121
|
FINISHED |
| Object | military personnel |
—
|
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: military personnel | Statement: [Alborán Island, hasInhabitantType, military personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInhabitantType Context triple: [Alborán Island, hasInhabitantType, military personnel]
-
A.
hasElementType
Indicates that something is composed of or contains elements that are of a specified type.
-
B.
hasContainmentType
Indicates the specific way in which one entity is contained within or enclosed by another.
-
C.
hasMemberType
chosen
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasTypeSiteFor
Indicates that one entity serves as the specific site or location designated for a particular type or category of another entity.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.