Triple
T4302904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redonda |
E99881
|
entity |
| Predicate | hasNoPermanentResidents |
P45262
|
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: [Redonda, hasNoPermanentResidents, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoPermanentResidents Context triple: [Redonda, hasNoPermanentResidents, true]
-
A.
hasNoIndigenousPopulation
Indicates that the referenced place or entity is characterized as having no indigenous population residing within it.
-
B.
hasNoPermanentSettlements
chosen
Indicates that the subject does not maintain any long-term or stable inhabited locations.
-
C.
hasPermanentHumanPopulation
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
-
D.
hasNoMunicipalGovernment
Indicates that the entity lacks its own municipal governing body or local city/town government.
-
E.
hasNonHumanResident
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350b66450819089c9ff6ff9f045e5 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b347ff45cc8190b0cc335a94cc3d73 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.