Triple

T29439134
Position Surface form Disambiguated ID Type / Status
Subject Drama League Award for Outstanding Production of a Play E746662 entity
Predicate eligibleVenues P110943 FINISHED
Object Broadway
Broadway is New York City’s famed theater district known for its large-scale professional stage productions and status as the pinnacle of American commercial theater.
 E16252 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: Broadway | Statement: [Drama League Award for Outstanding Production of a Play, eligibleVenues, Broadway]
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: Broadway
Triple: [Drama League Award for Outstanding Production of a Play, eligibleVenues, Broadway]
Generated description
Broadway is New York City’s famed theater district known for its large-scale professional stage productions and status as the pinnacle of American commercial theater.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: eligibleVenues
Context triple: [Drama League Award for Outstanding Production of a Play, eligibleVenues, Broadway]
  • A. isRegularVenueFor
    Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
  • B. usesVenues
    Indicates that one entity makes use of or operates within specific venues or locations to carry out its activities or services.
  • C. hasQualifyingVenue chosen
    Indicates that an entity is associated with a venue that meets specified qualifying criteria or standards.
  • D. typicalVenues
    Indicates that the specified locations are common or standard places where the associated activity, event, or entity usually occurs or is hosted.
  • E. isCentralVenueOf
    Indicates that a venue serves as the primary or main location for a specified event, organization, or activity.
  • 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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25d912f66c8190adfa89591befd952 completed June 7, 2026, 8:48 p.m.
NEDg Description generation batch_6a25dd22d2508190a97caed70b554c2b completed June 7, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a25e14c99008190a2761feec54a279c completed June 7, 2026, 9:23 p.m.
PD Predicate disambiguation batch_69f6b3a5fd8481909433e923c5e24e55 completed May 3, 2026, 2:32 a.m.
Created at: April 28, 2026, 3:19 p.m.