Triple
T9024911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City and Borough of Juneau |
E216021
|
entity |
| Predicate | isLandlockedByRoad |
P85913
|
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: [City and Borough of Juneau, isLandlockedByRoad, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLandlockedByRoad Context triple: [City and Borough of Juneau, isLandlockedByRoad, true]
-
A.
isLandlockedWithinIsland
Indicates that an entity has no direct access to the open sea and is entirely surrounded by land that itself is part of an island.
-
B.
isOnlyLandlockedMunicipalityIn
Indicates that a municipality is the sole municipality within a given region or jurisdiction that has no direct access to the sea or ocean (i.e., is landlocked).
-
C.
landlocked
Indicates that a place has no direct access to the open sea or ocean, being entirely surrounded by land or enclosed bodies of water.
-
D.
enclosesCountry
Indicates that one geopolitical entity completely surrounds or contains the territory of another country within its boundaries.
-
E.
isInLandlockedCounty
Indicates that an entity is located within a county that has no direct access to the ocean or sea.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7:07 p.m.