Triple
T436314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mona Island |
E10017
|
entity |
| Predicate | hasPermanentCivilianPopulation |
P8838
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Mona Island, hasPermanentCivilianPopulation, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPermanentCivilianPopulation Context triple: [Mona Island, hasPermanentCivilianPopulation, false]
-
A.
hasPermanentHumanPopulation
chosen
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
-
B.
hasCivilianControl
Indicates that one party exercises authority or oversight over another in a civilian (non-military) capacity.
-
C.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
D.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
E.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0c97188190b62104cb639d4b60 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.