Triple
T25117826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tubuai |
E629176
|
entity |
| Predicate | hasMainIslandStatus |
P104413
|
FINISHED |
| Object | main island of the Austral Islands |
—
|
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: main island of the Austral Islands | Statement: [Tubuai, hasMainIslandStatus, main island of the Austral Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainIslandStatus Context triple: [Tubuai, hasMainIslandStatus, main island of the Austral Islands]
-
A.
isMainIsland
chosen
Indicates that an island is the primary or most significant island within a group, region, or country.
-
B.
hasProtectedAreaOnMainIsland
Indicates that a protected area is located on the main island of a given geographic or political entity.
-
C.
hasNearbyMainIsland
Indicates that one entity has a main island located in close geographic proximity to it.
-
D.
hasIslandProvinceStatus
Indicates that an entity holds the administrative or political status of being classified as an island province.
-
E.
hasMajorIslandToSouth
Indicates that the subject entity has a major island located geographically to its south.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 18, 2026, 6:27 a.m.