Triple
T454084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermeer Mill |
E7193
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Pella |
E52512
|
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: Pella | Statement: [Vermeer Mill, city, Pella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pella Context triple: [Vermeer Mill, city, Pella]
-
A.
Pella
Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
-
B.
Pella, Greece
Pella, Greece is an ancient city in northern Greece that served as the capital of the Kingdom of Macedon and the birthplace of Alexander the Great.
-
C.
City of Pella
chosen
The City of Pella is a small Iowa community known for its strong Dutch heritage, historic architecture, and vibrant annual celebrations.
-
D.
Naissus
Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
-
E.
Missolonghi
Missolonghi is a historic Greek town in western Greece, renowned for its role in the Greek War of Independence and as the place where the poet Lord Byron died.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef866e848190a5b700250ec56256 |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4746c304881909deb0fdcde69c1c5 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.