Triple

T34711548
Position Surface form Disambiguated ID Type / Status
Subject San Narciso E1000658 entity
Predicate containsFictionalNeighborhoodOrArea P174424 FINISHED
Object Echo Courts
Echo Courts is a fictional residential complex in the invented Southern California city of San Narciso featured in Thomas Pynchon's novel "The Crying of Lot 49."
 E2108243 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: Echo Courts | Statement: [San Narciso, containsFictionalNeighborhoodOrArea, Echo Courts]
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: Echo Courts
Triple: [San Narciso, containsFictionalNeighborhoodOrArea, Echo Courts]
Generated description
Echo Courts is a fictional residential complex in the invented Southern California city of San Narciso featured in Thomas Pynchon's novel "The Crying of Lot 49."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: containsFictionalNeighborhoodOrArea
Context triple: [San Narciso, containsFictionalNeighborhoodOrArea, Echo Courts]
  • A. neighborhoodOfFictionalSetting chosen
    Indicates that one fictional setting is a neighborhood or local area within another fictional setting.
  • B. hasFictionalNearbyTown
    Indicates that an entity is associated with a fictional town located in its vicinity or surrounding area.
  • C. hasFictionalCityContext
    Indicates that something is associated with, set in, or contextualized by a fictional city.
  • D. hasFictionalLocation
    Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
  • E. hasBranchInFictionalLocation
    Indicates that an organization maintains a branch, office, or presence within a fictional or imaginary location.
  • 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_69f76dad3f108190a280fd0a2f4ee89a completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a00818b20a881909fbf3bb33dcf7029 completed May 10, 2026, 1 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37530d349881909fa809e61698e44a completed June 21, 2026, 2:57 a.m.
NEDg Description generation batch_6a3753a027888190b9458f35c96cfe80 completed June 21, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_6a37541fa8d48190aef474f094893f32 completed June 21, 2026, 3:01 a.m.
PD Predicate disambiguation batch_6a0080f76f588190a933238861243d1a completed May 10, 2026, 12:58 p.m.
Created at: May 3, 2026, 3:59 p.m.