Triple
T7529232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidzeme coast |
E177975
|
entity |
| Predicate | hasSettlementTypeNearby |
P51472
|
FINISHED |
| Object | small towns |
—
|
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: small towns | Statement: [Vidzeme coast, hasSettlementTypeNearby, small towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettlementTypeNearby Context triple: [Vidzeme coast, hasSettlementTypeNearby, small towns]
-
A.
hasSettlementAround
chosen
Indicates that a settlement is located in the surrounding area of a specified place or feature.
-
B.
hasAdjacentSettlement
Indicates that one settlement is located directly next to or bordering another settlement.
-
C.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
D.
hasPortSettlement
Indicates that a place has a settlement located at or directly associated with a port for maritime or water-based transport.
-
E.
hasSubsettlement
Indicates that one settlement includes another, smaller settlement as a subordinate or component part.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81e19208190965f211d057f7fdf |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.