Triple

T16553098
Position Surface form Disambiguated ID Type / Status
Subject Banda Aceh E402120 entity
Predicate hasReconstructionProgram P26232 FINISHED
Object post-2004 tsunami reconstruction 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-2004 tsunami reconstruction | Statement: [Banda Aceh, hasReconstructionProgram, post-2004 tsunami reconstruction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReconstructionProgram
Context triple: [Banda Aceh, hasReconstructionProgram, post-2004 tsunami reconstruction]
  • A. reconstructionProgram chosen
    Indicates a program or initiative designed to rebuild, restore, or structurally improve something that has been damaged, degraded, or is otherwise in need of renewal.
  • B. hasReconstructionPlan
    Indicates that there exists a defined plan or strategy for rebuilding, restoring, or reconstructing a given entity or system.
  • C. hasReconstructionWork
    Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
  • D. hasReconstructionStandard
    Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
  • E. haveReconstructionWork
    Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc6735481908b59bbf80fb3469b completed April 18, 2026, 9:32 a.m.
PD Predicate disambiguation batch_69e296a47b7481909d9958158510c806 completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:15 a.m.