Triple
T11854849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 153 |
E282008
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 153
SR 153 is a state highway in Maine that serves as a short connector route within the state's road network.
|
E951483
|
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: SR 153 | Statement: [Maine State Route 153, abbreviation, SR 153]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 153 Context triple: [Maine State Route 153, abbreviation, SR 153]
-
A.
SR 151
SR 151 is a state highway in Maine that runs through rural communities, connecting local roads to larger regional routes.
-
B.
SR 113
SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
-
C.
SR 152
SR 152 is a state highway in Maine that runs generally north–south, connecting several rural communities and serving as a regional connector route.
-
D.
SR 133
SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
-
E.
SR 135
SR 135 is a state highway in Maine that serves as a regional connector route between local communities.
- 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: SR 153 Triple: [Maine State Route 153, abbreviation, SR 153]
Generated description
SR 153 is a state highway in Maine that serves as a short connector route within the state's road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 153 Target entity description: SR 153 is a state highway in Maine that serves as a short connector route within the state's road network.
-
A.
SR 151
SR 151 is a state highway in Maine that runs through rural communities, connecting local roads to larger regional routes.
-
B.
SR 113
SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
-
C.
SR 152
SR 152 is a state highway in Maine that runs generally north–south, connecting several rural communities and serving as a regional connector route.
-
D.
SR 133
SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
-
E.
SR 135
SR 135 is a state highway in Maine that serves as a regional connector route between local communities.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281536c10819093dc1fd3203d41d8 |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:43 p.m.