Triple

T15289084
Position Surface form Disambiguated ID Type / Status
Subject Three Billboards Outside Ebbing, Missouri E365480 entity
Predicate setIn P1393 FINISHED
Object Ebbing, Missouri
Ebbing, Missouri is a fictional small town in the American Midwest, best known as the primary setting of the film "Three Billboards Outside Ebbing, Missouri."
E1149003 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: Ebbing, Missouri | Statement: [Three Billboards Outside Ebbing, Missouri, setIn, Ebbing, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebbing, Missouri
Context triple: [Three Billboards Outside Ebbing, Missouri, setIn, Ebbing, Missouri]
  • A. Ewing, Missouri
    Ewing, Missouri is a small rural community located in Lewis County in the northeastern part of the state.
  • B. Eldridge, Missouri
    Eldridge, Missouri is a small unincorporated rural community located in Laclede County in the central part of the state.
  • C. Ellis, Missouri
    Ellis, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • D. Eugene, Missouri
    Eugene, Missouri is a small unincorporated community in central Missouri located within Cole County.
  • E. Edgerton, Missouri
    Edgerton, Missouri is a small rural city in the Kansas City metropolitan area in northwestern Missouri.
  • 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: Ebbing, Missouri
Triple: [Three Billboards Outside Ebbing, Missouri, setIn, Ebbing, Missouri]
Generated description
Ebbing, Missouri is a fictional small town in the American Midwest, best known as the primary setting of the film "Three Billboards Outside Ebbing, Missouri."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ebbing, Missouri
Target entity description: Ebbing, Missouri is a fictional small town in the American Midwest, best known as the primary setting of the film "Three Billboards Outside Ebbing, Missouri."
  • A. Ewing, Missouri
    Ewing, Missouri is a small rural community located in Lewis County in the northeastern part of the state.
  • B. Eldridge, Missouri
    Eldridge, Missouri is a small unincorporated rural community located in Laclede County in the central part of the state.
  • C. Ellis, Missouri
    Ellis, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • D. Eugene, Missouri
    Eugene, Missouri is a small unincorporated community in central Missouri located within Cole County.
  • E. Edgerton, Missouri
    Edgerton, Missouri is a small rural city in the Kansas City metropolitan area in northwestern Missouri.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7b73a08190b06856c05ea8c80d completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef38868548190877cf25a38bb805a completed May 9, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69fef435b1208190bd839297a2f8d3f4 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:15 a.m.