Triple

T20098808
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 117 E496477 entity
Predicate abbreviation P43 FINISHED
Object SR 117
SR 117 is a state highway in Georgia that connects several rural communities in the central and southeastern parts of the state.
E1413958 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 117 | Statement: [Georgia State Route 117, abbreviation, SR 117]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 117
Context triple: [Georgia State Route 117, abbreviation, SR 117]
  • A. SR 117
    SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and 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 170
    SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • D. SR 170
    SR 170 is a California state highway in the Los Angeles area, commonly known as the Hollywood Freeway and the northern segment of the State Route 170 corridor.
  • E. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • 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 117
Triple: [Georgia State Route 117, abbreviation, SR 117]
Generated description
SR 117 is a state highway in Georgia that connects several rural communities in the central and southeastern parts of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 117
Target entity description: SR 117 is a state highway in Georgia that connects several rural communities in the central and southeastern parts of the state.
  • A. SR 117
    SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and 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 170
    SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • D. SR 170
    SR 170 is a California state highway in the Los Angeles area, commonly known as the Hollywood Freeway and the northern segment of the State Route 170 corridor.
  • E. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dcee3088190b4d7f37bd2652bc6 completed May 16, 2026, 8:41 a.m.
NEDg Description generation batch_6a082f11c60c81909b112216661b85fe completed May 16, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0830b3d9c08190a78ace19148a3bdd completed May 16, 2026, 8:54 a.m.
Created at: April 11, 2026, 11:26 p.m.