Triple
T17725730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N9 national route |
E442455
|
entity |
| Predicate | connectsCoastalAreaToInland |
P108869
|
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: [N9 national route, connectsCoastalAreaToInland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCoastalAreaToInland Context triple: [N9 national route, connectsCoastalAreaToInland, true]
-
A.
connectsInlandCityToCoast
Indicates a relationship where a route, link, or infrastructure connects an inland city to a coastal area or city.
-
B.
connectsCoastToBorder
Indicates a relationship where something (such as a route, feature, or boundary) links a coastal area directly to a national or regional border.
-
C.
connectsInlandCommunitiesTo
chosen
Indicates a relationship in which something serves as a link or conduit between inland communities and another place, system, or network.
-
D.
connectsCoastalCity
Indicates a relationship where one entity provides a direct connection or link (such as transport or infrastructure) between coastal cities.
-
E.
connectsPeninsulaTo
Indicates a relationship where a geographic feature or structure links a peninsula to another landmass or area.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47489c59c8190bbffefad20dc6346 |
completed | April 19, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:07 a.m.