Triple
T38395961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapalong |
E900761
|
entity |
| Predicate | hasIslandGroupSubdivisionType |
P190914
|
FINISHED |
| Object | island group |
—
|
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: island group | Statement: [Kapalong, hasIslandGroupSubdivisionType, island group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslandGroupSubdivisionType Context triple: [Kapalong, hasIslandGroupSubdivisionType, island group]
-
A.
hasIslandGroupType
Indicates that an island group is classified as having a particular type or category of island grouping.
-
B.
hasIslandSubregion
Indicates that a region includes an island as one of its subordinate geographic subregions.
-
C.
isInIslandGroup
Indicates that one geographic entity (typically an island) is located within or belongs to a specific island group or archipelago.
-
D.
hasIslandGroupCount
Indicates the number of distinct island groups associated with a given entity.
-
E.
hasTerritorialSubdivisionType
Indicates that an entity’s territorial subdivisions are of a specified administrative or geographic type (e.g., province, county, district).
- F. None of above. chosen
Provenance (4 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.