Triple
T25014194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piis-Paneu Island |
E626079
|
entity |
| Predicate | locatedInOceaniaSubregion |
P128684
|
FINISHED |
| Object | Micronesia |
E11264
|
NE 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: Micronesia | Statement: [Piis-Paneu Island, locatedInOceaniaSubregion, Micronesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInOceaniaSubregion Context triple: [Piis-Paneu Island, locatedInOceaniaSubregion, Micronesia]
-
A.
locatedInOceania
chosen
Indicates that one entity is geographically situated within the region of Oceania.
-
B.
belongsToOceanicRegion
Indicates that one entity is geographically or administratively situated within, or associated with, a specified oceanic region.
-
C.
locatedInAsia
Indicates that the subject entity is geographically situated within the continent of Asia.
-
D.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
E.
isRegionalSubdivisionOf
Indicates that one region functions as an administrative or geographic subdivision within a larger region.
- F. None of above.
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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105cc82454819097c4f42a1c20f2df |
completed | May 22, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 18, 2026, 6:06 a.m.