Triple
T385775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romania |
E8777
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object | ROU |
E8777
|
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: ROU | Statement: [Romania, ISO3166-1Alpha3, ROU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROU Context triple: [Romania, ISO3166-1Alpha3, ROU]
-
A.
Romania
chosen
Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
-
B.
Rota
Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
-
C.
Russia
Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
-
D.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
-
E.
Russin
Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe9755c08190a6f046ca56531df5 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.