Triple
T7019789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colle dell’Agnello |
E162789
|
entity |
| Predicate | roadNumberCountry |
P1864
|
FINISHED |
| Object | Italy: SP251 (varies by local designation) |
—
|
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: Italy: SP251 (varies by local designation) | Statement: [Colle dell’Agnello, roadNumberCountry, Italy: SP251 (varies by local designation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNumberCountry Context triple: [Colle dell’Agnello, roadNumberCountry, Italy: SP251 (varies by local designation)]
-
A.
roadNetworkCountryCode
Indicates the country code associated with the road network in which the related entity or segment is located.
-
B.
isNumberedHighway
Indicates that a roadway is officially designated and signed as a numbered highway within a road network.
-
C.
roadName
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
D.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
E.
routeNumber
chosen
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.