Triple
T7412330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-4 highway |
E171038
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | M-4 Don |
E662064
|
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-4 Don | Statement: [M-4 highway, alsoKnownAs, M-4 Don]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-4 Don Context triple: [M-4 highway, alsoKnownAs, M-4 Don]
-
A.
M-40
M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
-
B.
M-45
M-45 is a major ring road in the Madrid metropolitan area that helps divert traffic around the city and connect several eastern suburbs.
-
C.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
D.
M-4
chosen
M-4 is a major Russian federal highway that runs from Moscow to the Black Sea coast, serving as a key transport corridor in the country.
-
E.
M-46
M-46 is an east–west state trunkline highway in Michigan that spans much of the state's Lower Peninsula, connecting several communities across multiple counties.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81edbbe6481908904d1a1f7cfb20a |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:11 p.m.