Triple
T15335460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Route 103 |
E366652
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Route 103
Route 103 is a state highway in Vermont that serves as a key north–south connector through the southeastern part of the state.
|
E1152371
|
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: Route 103 | Statement: [Vermont Route 103, abbreviation, Route 103]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 103 Context triple: [Vermont Route 103, abbreviation, Route 103]
-
A.
Route 109
Route 109 is a state highway in Massachusetts that runs east–west through several suburbs of Boston, serving as a key commuter and regional connector road.
-
B.
Route 107
Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
-
C.
Route 107
Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
-
D.
Route 110
Route 110 is a poem by Seamus Heaney that reimagines episodes from Homer’s Odyssey within the landscapes and experiences of modern Ireland.
-
E.
Route 10
Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
- 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: Route 103 Triple: [Vermont Route 103, abbreviation, Route 103]
Generated description
Route 103 is a state highway in Vermont that serves as a key north–south connector through the southeastern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 103 Target entity description: Route 103 is a state highway in Vermont that serves as a key north–south connector through the southeastern part of the state.
-
A.
Route 109
Route 109 is a state highway in Massachusetts that runs east–west through several suburbs of Boston, serving as a key commuter and regional connector road.
-
B.
Route 107
Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
-
C.
Route 107
Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
-
D.
Route 110
Route 110 is a poem by Seamus Heaney that reimagines episodes from Homer’s Odyssey within the landscapes and experiences of modern Ireland.
-
E.
Route 10
Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ee7480819080133a9910a2bf52 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff05fbf6e481909727758ae2699bad |
completed | May 9, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff06e098cc8190ab67143071bca1dc |
completed | May 9, 2026, 10:05 a.m. |
Created at: April 10, 2026, 3:17 a.m.