Triple

T12159592
Position Surface form Disambiguated ID Type / Status
Subject Dahisar E289668 entity
Predicate hasMunicipalWard P14475 FINISHED
Object R North ward 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: R North ward | Statement: [Dahisar, hasMunicipalWard, R North ward]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalWard
Context triple: [Dahisar, hasMunicipalWard, R North ward]
  • A. hasMunicipalDistrict
    Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
  • B. municipalWardType
    Indicates the specific category or classification of a municipal ward within a local government or administrative structure.
  • C. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • D. containsWard chosen
    Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
  • E. isMunicipalCorporationOf
    Indicates that an entity functions as the municipal governing body responsible for administering and managing the affairs of a specified city or urban area.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69d9150c18148190bf8152189c0e5fca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.