Triple

T14865990
Position Surface form Disambiguated ID Type / Status
Subject District XIV E349616 entity
Predicate hasRelativePositionToDistrictXIII P115935 FINISHED
Object adjacent 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: adjacent | Statement: [District XIV, hasRelativePositionToDistrictXIII, adjacent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelativePositionToDistrictXIII
Context triple: [District XIV, hasRelativePositionToDistrictXIII, adjacent]
  • A. basedInDistrict
    Indicates that an entity is located or has its primary base of operations within a specific administrative district.
  • B. hasNearbyPrecinct
    Indicates that one location has a police precinct or similar administrative station situated close to it in geographic proximity.
  • C. meetsInDistrict
    Indicates that two or more entities hold a meeting within the boundaries of a specified administrative district.
  • D. hasCouncilDistrict
    Indicates that an entity is located within or represented by a specific council district.
  • E. hasDistrictOfficeLocation
    Indicates that an entity’s district office is located at a specified place or address.
  • F. None of above. chosen

Provenance (4 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:55 a.m.