Triple
T31461422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welfare Island Bridge |
E802604
|
entity |
| Predicate | navigationClearanceAdjustable |
P172245
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Welfare Island Bridge, navigationClearanceAdjustable, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navigationClearanceAdjustable Context triple: [Welfare Island Bridge, navigationClearanceAdjustable, yes]
-
A.
navigationClearanceImprovedComparedTo
Indicates that the level of navigation clearance in one context is better or less obstructed compared to another context.
-
B.
navigationClearanceType
Indicates the specific type or category of clearance granted for a navigation-related operation or movement.
-
C.
navigationClearance
Indicates that permission or authorization has been granted for an entity to proceed along a specified route or through a particular navigational area.
-
D.
hasNavigationClearance
Indicates that an entity has been granted authorization to navigate through a specified area or along a particular route.
-
E.
groundClearance
Indicates the vertical distance between the lowest point of an object and the ground surface beneath it.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 9:20 p.m.