Triple
T35125710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECO region |
E1014296
|
entity |
| Predicate | includesLandlockedStates |
P44110
|
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: [ECO region, includesLandlockedStates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLandlockedStates Context triple: [ECO region, includesLandlockedStates, true]
-
A.
isInLandlockedPartOfState
Indicates that a location lies within the portion of a state that has no direct access to the sea or ocean.
-
B.
isLandlockedExceptForRiverBoundary
Indicates that an entity has no coastline on seas or oceans, except for a boundary formed by a river that connects (directly or indirectly) to such waters.
-
C.
hasLandlockedStatus
Indicates whether an entity is geographically landlocked, lacking direct access to the open sea or ocean.
-
D.
isLandlockedByRoad
Indicates that a place has no direct road access to the broader road network except through another surrounding or enclosing region.
-
E.
hasNonCoastalMemberStates
chosen
Indicates that within a given group or organization, there exist member states that do not have a coastline.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.