Triple
T29682870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Point ferry terminal |
E751001
|
entity |
| Predicate | hasCoveredWalkways |
P190097
|
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: [Duke Point ferry terminal, hasCoveredWalkways, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoveredWalkways Context triple: [Duke Point ferry terminal, hasCoveredWalkways, yes]
-
A.
hasCoveredWalkway
Indicates that one place or structure is connected to another by a walkway that is sheltered or roofed.
-
B.
hasShelteredWalkways
chosen
Indicates that one place or structure provides covered or protected walkways connecting it to another location or area.
-
C.
hasWalkwaysAndQuads
Indicates that an entity includes or is characterized by walkways and quadrangle areas as part of its layout or structure.
-
D.
hasWalkwayShape
Indicates that a walkway possesses a particular geometric or structural shape or configuration.
-
E.
hasWalkwayPosition
Indicates the spatial or relative position of an entity along or within a walkway.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
Created at: April 28, 2026, 7:11 p.m.