Triple
T7562296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohéli |
E178820
|
entity |
| Predicate | islandCountryComponent |
P29204
|
FINISHED |
| Object | federal island of Comoros |
—
|
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: federal island of Comoros | Statement: [Mohéli, islandCountryComponent, federal island of Comoros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandCountryComponent Context triple: [Mohéli, islandCountryComponent, federal island of Comoros]
-
A.
islandOf
chosen
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
B.
representsIslandNation
Indicates that the subject entity is an island nation, i.e., a sovereign state whose primary territory consists of one or more islands.
-
C.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
D.
associatedIsland
Indicates that one entity is related to or connected with a particular island in some relevant way.
-
E.
isIslandNationCode
Indicates that a given code designates a country whose territory consists primarily of one or more islands.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.