Triple
T31095762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanilla Island |
E792521
|
entity |
| Predicate | regionTypeOfReferent |
P1828
|
FINISHED |
| Object | island |
—
|
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 | Statement: [Vanilla Island, regionTypeOfReferent, island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTypeOfReferent Context triple: [Vanilla Island, regionTypeOfReferent, island]
-
A.
regionTypeOfPlace
Indicates that a place belongs to or is categorized under a specific type of geographic or administrative region.
-
B.
regionType
chosen
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
C.
realmType
Indicates the classification or category of a realm, specifying what kind or type of realm it is.
-
D.
regionReference
Indicates that one entity refers to, points to, or is associated with a specific region or area defined by another entity.
-
E.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: April 29, 2026, 9:03 p.m.