Triple
T23569555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arundel and South Downs |
E580063
|
entity |
| Predicate | hasCharacteristicSettlementType |
P64802
|
FINISHED |
| Object | small towns and villages |
—
|
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 and villages | Statement: [Arundel and South Downs, hasCharacteristicSettlementType, small towns and villages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacteristicSettlementType Context triple: [Arundel and South Downs, hasCharacteristicSettlementType, small towns and villages]
-
A.
hasSettlementCharacteristic
chosen
Indicates that a settlement possesses a specific attribute, feature, or quality.
-
B.
isInSettlementType
Indicates that one entity is located within or classified as belonging to a particular type of settlement (such as a city, town, or village).
-
C.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
D.
methodOfSettlement
Indicates the way in which a transaction, obligation, or dispute is resolved, completed, or paid.
-
E.
hasSettlementClass
Indicates that an entity is classified as belonging to a particular type or category of settlement (e.g., city, town, village).
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd15ca48190afd119ec1b4a07b2 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:36 p.m.