Triple
T7201119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-3 highway |
E168745
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | M-2 highway |
E167507
|
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: M-2 highway | Statement: [M-3 highway, hasJunctionWith, M-2 highway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-2 highway Context triple: [M-3 highway, hasJunctionWith, M-2 highway]
-
A.
M-2 highway
chosen
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.
-
B.
M-28 highway
M-28 highway is a major east–west state trunkline in Michigan’s Upper Peninsula that serves as a key transportation route across the region.
-
C.
M-1 highway
The M-1 highway is a major Russian federal road that connects Moscow with the border of Belarus as part of the international route between Moscow and Western Europe.
-
D.
M-3 highway
The M-3 highway is a major Russian federal road that connects Moscow with the southwestern regions of the country and onward toward the border with Ukraine.
-
E.
M-59 freeway
The M-59 freeway is a major east–west highway in southeastern Michigan that serves as a key commuter and commercial route through suburbs north of Detroit.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94971508190bb38184c9af2fe51 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb0f4688190a677b818a0b3619c |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:52 p.m.