Triple
T4536405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Macedonia |
E107418
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Veria |
E99094
|
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: Veria | Statement: [Central Macedonia, containsCity, Veria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veria Context triple: [Central Macedonia, containsCity, Veria]
-
A.
Veria
chosen
Veria is a historic city in northern Greece known for its ancient Macedonian heritage and early Christian significance.
-
B.
Abersychan
Abersychan is a former industrial village and community in the county borough of Torfaen in South Wales, historically known for coal mining and ironworks.
-
C.
Blaina
Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
-
D.
Brecon
Brecon is a historic market town in Powys, mid Wales, known for its cathedral, Georgian architecture, and location near the Brecon Beacons National Park.
-
E.
Tyndrum
Tyndrum is a small village in the Scottish Highlands that serves as a key road and rail junction for travelers heading to western and northern Scotland.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf5858081909d38cad86d4014f2 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.