Triple

T31703562
Position Surface form Disambiguated ID Type / Status
Subject WCSH E809121 entity
Predicate studiosLocation P155032 FINISHED
Object Congress Square, Portland, Maine
Congress Square in Portland, Maine is a central urban intersection and public space known for its surrounding cultural venues, businesses, and media offices.
 E1972864 NE FINISHED

How this triple was built (3 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: Congress Square, Portland, Maine | Statement: [WCSH, studiosLocation, Congress Square, Portland, Maine]
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: Congress Square, Portland, Maine
Triple: [WCSH, studiosLocation, Congress Square, Portland, Maine]
Generated description
Congress Square in Portland, Maine is a central urban intersection and public space known for its surrounding cultural venues, businesses, and media offices.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: studiosLocation
Context triple: [WCSH, studiosLocation, Congress Square, Portland, Maine]
  • A. productionCompanyLocation
    Indicates the relationship between a production company and the geographic location where it is based or operates.
  • B. notableStudioLocatedIn chosen
    Indicates that a notable studio is situated or based in a specified location.
  • C. filmingStudio
    Indicates that a studio is responsible for producing or filming a particular audiovisual work.
  • D. basedAtStationStudios
    Indicates that an entity (such as a program, show, or production) operates from or is primarily located at a particular station’s studios.
  • E. numberOfStudios
    Indicates the total count of studios associated with a given entity.
  • F. None of above.

Provenance (6 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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84cbe3e88190ae7346e9f7d28654 completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b8566b67c8190849d33decd4d64c5 completed June 12, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2b86252e808190a55351b93217d5f8 completed June 12, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:13 p.m.