Triple
T16688488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 133 |
E405528
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR-133
SR-133 is a state highway designated as State Route 133 within a U.S. state’s transportation system.
|
E1228417
|
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-133 | Statement: [State Route 133, abbreviation, SR-133]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR-133 Context triple: [State Route 133, abbreviation, SR-133]
-
A.
SR-143
SR-143 is a short Arizona state highway in the Phoenix metropolitan area that primarily serves as a connector between Interstate 10 and Phoenix Sky Harbor International Airport.
-
B.
SR-180
SR-180 is a state highway designation, likely referring to a specific numbered route within a U.S. state highway system.
-
C.
SR-170
SR-170 is a freeway in Los Angeles County that connects the Hollywood area to the San Fernando Valley as part of California's state highway system.
-
D.
SR-91
SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
E.
SR111
SR111 was a Swissair international passenger flight that tragically crashed into the Atlantic Ocean near Nova Scotia in 1998, killing all 229 people on board.
- 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-133 Triple: [State Route 133, abbreviation, SR-133]
Generated description
SR-133 is a state highway designated as State Route 133 within a U.S. state’s transportation system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR-133 Target entity description: SR-133 is a state highway designated as State Route 133 within a U.S. state’s transportation system.
-
A.
SR-143
SR-143 is a short Arizona state highway in the Phoenix metropolitan area that primarily serves as a connector between Interstate 10 and Phoenix Sky Harbor International Airport.
-
B.
SR-180
SR-180 is a state highway designation, likely referring to a specific numbered route within a U.S. state highway system.
-
C.
SR-170
SR-170 is a freeway in Los Angeles County that connects the Hollywood area to the San Fernando Valley as part of California's state highway system.
-
D.
SR-91
SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
E.
SR111
SR111 was a Swissair international passenger flight that tragically crashed into the Atlantic Ocean near Nova Scotia in 1998, killing all 229 people on board.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea75df481909a7ebb9b2a9d0afd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a45af7c8190bfe09dd0e0573573 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b41a1648190bd1c2268c8a80ee2 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008c2bcac48190801ba34fde104a8a |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 10, 2026, 5:19 a.m.