Triple
T13066824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Route 5 |
E329346
|
entity |
| Predicate | hasRouteDesignation |
P5539
|
FINISHED |
| Object | MD 5 |
E1017519
|
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: MD 5 | Statement: [Maryland Route 5, hasRouteDesignation, MD 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MD 5 Context triple: [Maryland Route 5, hasRouteDesignation, MD 5]
-
A.
MD 5
chosen
MD 5 is a primary state highway in Maryland that connects the Washington, D.C. suburbs with Southern Maryland, including the communities of Clinton and Waldorf.
-
B.
MD5
MD5 is a widely known but now cryptographically broken 128-bit hash function formerly used for checksums, data integrity, and security applications.
-
C.
MD4
MD4 is a cryptographic hash function designed by Ronald Rivest that produces a 128-bit hash value and served as the basis for later algorithms like MD5.
-
D.
MD 500
The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
-
E.
MDV
MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d603419c8190b8d1726365db59dc |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:59 p.m.