Triple
T33644381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romang |
E861917
|
entity |
| Predicate | hasPrimarySettlementsLocation |
—
|
GENERATED |
| Object | coastal areas |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySettlementsLocation Context triple: [Romang, hasPrimarySettlementsLocation, coastal areas]
-
A.
hasMajorSettlementsType
Indicates that an entity is associated with major settlements of a specified type (e.g., cities, towns, villages).
-
B.
hasSecondaryCity
Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
-
C.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
-
D.
hasPrimarySettlementFunction
Indicates that a settlement’s main or dominant functional role (e.g., residential, commercial, industrial, administrative) is of the specified type.
-
E.
hasMajorSettlementRegion
Indicates that a major settlement is located within or primarily associated with a particular geographic region.
- F. None of above. chosen
Provenance (1 batch)
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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.