Triple
T3951171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2 coastal highway |
E84867
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | A1 highway |
E496305
|
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: A1 highway | Statement: [A2 coastal highway, hasJunctionWith, A1 highway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A1 highway Context triple: [A2 coastal highway, hasJunctionWith, A1 highway]
-
A.
A1 highway
chosen
The A1 highway is a major north–south road in Botswana that connects key cities including Francistown and serves as a primary route for regional and cross-border traffic.
-
B.
A2 highway
The A2 highway is a major roadway in Nigeria that serves as a key transport corridor connecting Kaduna with other important cities and regions.
-
C.
A3 highway
The A3 highway is a major Nigerian roadway that runs through several northern states, including Bauchi, serving as an important regional transport corridor.
-
D.
A3 highway
The A3 highway is a major roadway in Zimbabwe that serves as a key transport route linking the city of Mutare with other important regions and border crossings.
-
E.
A1 motorway
The A1 motorway is a major Swiss highway that runs across the country, connecting key cities such as Geneva, Lausanne, Bern, and Zurich.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9384cdc8190ad89b32dc25ac1d7 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e2d5e3948190961df336430d31f7 |
completed | March 23, 2026, 6:51 a.m. |
Created at: March 9, 2026, 3:30 p.m.