Triple
T10640620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muntenia |
E250709
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Giurgiu |
E353119
|
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: Giurgiu | Statement: [Muntenia, containsCity, Giurgiu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giurgiu Context triple: [Muntenia, containsCity, Giurgiu]
-
A.
Giurgiu
chosen
Giurgiu is a city in southern Romania on the Danube River, serving as an important border crossing and transport link with the Bulgarian city of Ruse.
-
B.
Giurgola
Giurgola is the surname of Romaldo Giurgola, an Italian-Australian architect known for his influential modernist designs, including the Australian Parliament House in Canberra.
-
C.
Tecuci
Tecuci is a town in eastern Romania known as a local transport hub and administrative center in Galați County.
-
D.
Colentina
Colentina is a residential neighborhood in northeastern Bucharest, Romania, known for its dense housing, commercial areas, and location along the Colentina River.
-
E.
Costel
Costel is a Romanian masculine given name, commonly used as a diminutive or variant of Constantin.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcd19648190882380d2c90be486 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4555e48190be39c0a7698b4282 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:04 p.m.