Triple
T4834897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perus |
E108033
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Perus |
E108033
|
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: Perus | Statement: [Perus, shortName, Perus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perus Context triple: [Perus, shortName, Perus]
-
A.
Perus
chosen
Perus is the commonly used Finnish abbreviation for the Finns Party, a right-wing populist and nationalist political party in Finland.
-
B.
Pervomaisk
Pervomaisk is a city in southern Ukraine known as an industrial and transport hub situated along the Southern Bug River.
-
C.
Base
Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
-
D.
Grund
Grund is a historic, picturesque quarter of Luxembourg City known for its riverside setting, old architecture, and vibrant nightlife.
-
E.
Basaseachi
Basaseachi is a small town in Chihuahua, Mexico, known as the gateway to the nearby Basaseachic Falls and the surrounding Sierra Madre Occidental landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cde9b2081909f1aef81850d6007 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dda71e08190a28215f91405a4e1 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:25 p.m.