Triple
T9685191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missouri Route 371 |
E234388
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MO 371
MO 371 is a state highway in Missouri that serves as a connector route within the Kansas City metropolitan area.
|
E815303
|
NE FINISHED |
How this triple was built (4 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: MO 371 | Statement: [Missouri Route 371, abbreviation, MO 371]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MO 371 Context triple: [Missouri Route 371, abbreviation, MO 371]
-
A.
MO-5
MO-5 is the commonly used shorthand for Missouri's 5th congressional district, a U.S. House of Representatives district centered around Kansas City.
-
B.
MO 46
MO 46 is a state highway in Missouri that serves as an east–west route connecting several rural communities in the northern part of the state.
-
C.
M-37
M-37 is a state highway in Michigan that runs up the Old Mission Peninsula, providing scenic access between Traverse City and the peninsula’s vineyards, orchards, and shoreline.
-
D.
MO-04
MO-04 is the commonly used abbreviation for Missouri's 4th congressional district, a U.S. House of Representatives district located in central and western Missouri.
-
E.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MO 371 Triple: [Missouri Route 371, abbreviation, MO 371]
Generated description
MO 371 is a state highway in Missouri that serves as a connector route within the Kansas City metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MO 371 Target entity description: MO 371 is a state highway in Missouri that serves as a connector route within the Kansas City metropolitan area.
-
A.
MO-5
MO-5 is the commonly used shorthand for Missouri's 5th congressional district, a U.S. House of Representatives district centered around Kansas City.
-
B.
MO 46
MO 46 is a state highway in Missouri that serves as an east–west route connecting several rural communities in the northern part of the state.
-
C.
M-37
M-37 is a state highway in Michigan that runs up the Old Mission Peninsula, providing scenic access between Traverse City and the peninsula’s vineyards, orchards, and shoreline.
-
D.
MO-04
MO-04 is the commonly used abbreviation for Missouri's 4th congressional district, a U.S. House of Representatives district located in central and western Missouri.
-
E.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
- F. None of above. chosen
Provenance (5 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd0877c81909fde1989d946aae9 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910b7c148190b9061b1ce0520e8b |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d193150c00819080ed0fbb050b60bf |
completed | April 4, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19416efd48190865d0178e5e893fa |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 8:16 p.m.