Triple
T16533418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intercounty Connector (MD 200) |
E401623
|
entity |
| Predicate | highwayNumberingSystem |
P123928
|
FINISHED |
| Object | Maryland state highway system |
—
|
LITERAL 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: Maryland state highway system | Statement: [Intercounty Connector (MD 200), highwayNumberingSystem, Maryland state highway system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highwayNumberingSystem Context triple: [Intercounty Connector (MD 200), highwayNumberingSystem, Maryland state highway system]
-
A.
UShighwayNumber
Indicates that a U.S. highway is identified by a specific route number.
-
B.
nationalHighwayNetworkState
Indicates that a state is part of, or associated with, the national highway network.
-
C.
isNumberedHighway
Indicates that a roadway is officially designated and signed as a numbered highway within a road network.
-
D.
primaryInterstateHighway
Indicates that the subject is designated as a primary (main) interstate highway within the interstate highway system.
-
E.
nationalHighwayConnectivity
Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
- F. None of above. chosen
Provenance (4 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.