Triple
T16356319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lozitha Palace |
E397187
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object | MR3 highway |
E440866
|
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: MR3 highway | Statement: [Lozitha Palace, roadAccess, MR3 highway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MR3 highway Context triple: [Lozitha Palace, roadAccess, MR3 highway]
-
A.
MR3 highway
chosen
The MR3 highway is a major roadway in Eswatini that serves as a key transport corridor connecting the capital, Mbabane, with other important regions of the country.
-
B.
M9 highway
The M9 highway is a major Russian federal road that connects Moscow with the Latvian border, forming part of the route toward Riga and the Baltic region.
-
C.
M1 highway
The M1 highway is a major international road in Eastern Europe that connects Moscow with the Belarusian border and forms part of the route toward Western Europe.
-
D.
M1 highway
The M1 highway is a major road in Syria that serves as a key transportation route linking the coastal city of Latakia with other important regions of the country.
-
E.
M-2 highway
The M-2 highway is a major Russian federal road that connects Moscow with the southern regions toward the border with Ukraine, serving as an important transport corridor through Moscow Oblast.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facf67e0819089a23ce6f5642fbe |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbaacd88190b2c90c5be2832307 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.