Triple
T26486909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salelologa |
E664846
|
entity |
| Predicate | mainTownOn |
P165856
|
FINISHED |
| Object | Savaiʻi |
—
|
NE NERFINISHED |
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: Savaiʻi | Statement: [Salelologa, mainTownOn, Savaiʻi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTownOn Context triple: [Salelologa, mainTownOn, Savaiʻi]
-
A.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
-
B.
mainMunicipality
Indicates that one municipality serves as the primary or central administrative municipality associated with another entity or area.
-
C.
fromTown
Indicates that one entity originates from, or is associated as being from, a particular town represented by the other entity.
-
D.
mainSettlement
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
E.
majorTownInRegion
Indicates that a town is one of the principal or most significant towns within a specified region.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 27, 2026, 12:31 a.m.