Triple
T14481780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pecetto |
E359118
|
entity |
| Predicate | isAlpineSettlement |
P78502
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pecetto, isAlpineSettlement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlpineSettlement Context triple: [Pecetto, isAlpineSettlement, true]
-
A.
isInlandSettlement
Indicates that a settlement is located away from the coast, without direct access to the sea or ocean.
-
B.
isRuralSettlement
Indicates that a settlement is located in a rural area, typically characterized by low population density and limited urban infrastructure.
-
C.
isLocatedInSettlement
Indicates that an entity is situated within or belongs to a specific human settlement, such as a town, village, or city.
-
D.
isMountainMunicipality
chosen
Indicates that a municipality is classified as being located in a mountainous area or characterized by predominantly mountainous terrain.
-
E.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.