Triple

T15280369
Position Surface form Disambiguated ID Type / Status
Subject Bhuj E365251 entity
Predicate reconstructionEffort P76703 FINISHED
Object post-2001 urban redevelopment 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: post-2001 urban redevelopment | Statement: [Bhuj, reconstructionEffort, post-2001 urban redevelopment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reconstructionEffort
Context triple: [Bhuj, reconstructionEffort, post-2001 urban redevelopment]
  • A. reconstructionWork chosen
    Indicates that an entity is engaged in or associated with activities to rebuild, restore, or repair something that was damaged, destroyed, or altered.
  • B. reconstructionChallenge
    Indicates a situation where accurately rebuilding or restoring something from incomplete, damaged, or complex information is difficult or problematic.
  • C. reconstructionFor
    Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
  • D. reconstructionWorkBy
    Indicates that a reconstruction project or effort is carried out, overseen, or authored by a specific agent or entity.
  • E. reconstructs
    Indicates performing an action to rebuild, restore, or reassemble something from its parts, damage, or prior state.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69deca90739081909bd1b797cdb8af2b completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:15 a.m.