Triple
T19001712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State Road 836 |
E464968
|
entity |
| Predicate | hasOfficialAbbreviation |
P8075
|
FINISHED |
| Object |
FL 836
FL 836 is a major east–west expressway in Miami-Dade County, Florida, commonly known as the Dolphin Expressway.
|
E1353754
|
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: FL 836 | Statement: [Florida State Road 836, hasOfficialAbbreviation, FL 836]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FL 836 Context triple: [Florida State Road 836, hasOfficialAbbreviation, FL 836]
-
A.
FL 43
FL 43 is a Florida state highway designation for a segment of State Road 43, a north–south route serving parts of the state’s interior.
-
B.
FL 100
FL 100 is a Florida state highway that runs east–west across north-central Florida, connecting inland communities with the Atlantic coast.
-
C.
FL-2
FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
-
D.
FLS
FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
-
E.
FLS
FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
- 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: FL 836 Triple: [Florida State Road 836, hasOfficialAbbreviation, FL 836]
Generated description
FL 836 is a major east–west expressway in Miami-Dade County, Florida, commonly known as the Dolphin Expressway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FL 836 Target entity description: FL 836 is a major east–west expressway in Miami-Dade County, Florida, commonly known as the Dolphin Expressway.
-
A.
FL 43
FL 43 is a Florida state highway designation for a segment of State Road 43, a north–south route serving parts of the state’s interior.
-
B.
FL 100
FL 100 is a Florida state highway that runs east–west across north-central Florida, connecting inland communities with the Atlantic coast.
-
C.
FL-2
FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
-
D.
FLS
FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
-
E.
FLS
FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d687cb2081909bf3ac761e292f22 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45dc7e88190a0bf79ea1bb18f99 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.