Triple
T21412094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | courts of Tuvalu |
E528197
|
entity |
| Predicate | hasLimitedResources |
P86597
|
FINISHED |
| Object | small judiciary and support staff |
—
|
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: small judiciary and support staff | Statement: [courts of Tuvalu, hasLimitedResources, small judiciary and support staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedResources Context triple: [courts of Tuvalu, hasLimitedResources, small judiciary and support staff]
-
A.
hasLimitation
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
B.
hasLimitedFacilities
Indicates that an entity provides only a restricted or insufficient range or quality of facilities or services.
-
C.
hasLimitedNature
Indicates that an entity possesses a restricted, finite, or constrained nature or scope in some respect.
-
D.
isResourcePoor
chosen
Indicates that an entity lacks sufficient resources (such as money, materials, or capacity) to meet its needs or perform effectively.
-
E.
hasResourcePotential
Indicates that an entity possesses the capacity or suitability to provide, generate, or support a particular resource in the future.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d01634819089dd64fe7bc5ccbd |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:43 p.m.