Triple

T13034035
Position Surface form Disambiguated ID Type / Status
Subject Pulaski Park neighborhood E326510 entity
Predicate hasLandmarkStatusContext P41739 FINISHED
Object historic park and fieldhouse recognized locally LITERAL FINISHED

How this triple was built (2 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: historic park and fieldhouse recognized locally | Statement: [Pulaski Park neighborhood, hasLandmarkStatusContext, historic park and fieldhouse recognized locally]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandmarkStatusContext
Context triple: [Pulaski Park neighborhood, hasLandmarkStatusContext, historic park and fieldhouse recognized locally]
  • A. hasLandmarkProperty
    Indicates that something possesses a notable or defining landmark-related characteristic or feature.
  • B. hasLandStatus chosen
    Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
  • C. hasLandmarkUnderManagement
    Indicates that an entity is responsible for managing or overseeing a particular landmark.
  • D. isLandmarkFor
    Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
  • E. includesLandmark
    Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
  • F. None of above.

Provenance (3 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97effca908190ab89fdb034e02680 completed April 10, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69d97dc39a0881908119c62e31bf6182 completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:54 p.m.