Triple
T2359811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocos Island |
E47243
|
entity |
| Predicate | permanentHumanPopulation |
P8838
|
FINISHED |
| Object | no permanent civilian population |
—
|
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: no permanent civilian population | Statement: [Cocos Island, permanentHumanPopulation, no permanent civilian population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentHumanPopulation Context triple: [Cocos Island, permanentHumanPopulation, no permanent civilian population]
-
A.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
B.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
C.
hasPermanentHumanPopulation
chosen
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
-
D.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
E.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc722ac3c819091f4316a4a166a77 |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.