Triple
T23303380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNN |
E590365
|
entity |
| Predicate | hasTransatlanticServices |
P151791
|
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: [SNN, hasTransatlanticServices, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransatlanticServices Context triple: [SNN, hasTransatlanticServices, true]
-
A.
hasInternationalService
Indicates that an entity provides or is connected to transportation or communication services that operate across national borders.
-
B.
hasInternationalTerminal
Indicates that a transportation facility includes a terminal specifically designated for handling international arrivals and departures.
-
C.
hasRegionalServices
Indicates that an entity provides or is associated with services that operate within a specific geographic region or set of regions.
-
D.
hasDirectServices
Indicates that one entity provides services directly to another entity without intermediaries.
-
E.
totalTransatlanticCrossings
Indicates the number of times an entity has completed crossings across the Atlantic Ocean.
- F. None of above. chosen
Provenance (4 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19724de488190ac8eb89253c8dd53 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:04 p.m.