Triple

T145267
Position Surface form Disambiguated ID Type / Status
Subject People’s History Museum E2939 entity
Predicate reopenedAfterRedevelopment P5418 FINISHED
Object 2010 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: 2010 | Statement: [People’s History Museum, reopenedAfterRedevelopment, 2010]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reopenedAfterRedevelopment
Context triple: [People’s History Museum, reopenedAfterRedevelopment, 2010]
  • A. reconstructedAfter
    Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
  • B. renovatedBy
    Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
  • C. rebuiltUnder
    Indicates that an entity was reconstructed or restored while being subject to the authority, control, or governance of another entity.
  • D. redesigned
    Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
  • E. rebuiltFor
    Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a25656a4fc81908a87678ac3d28f93 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a257101060819094db0f3a3a72f312 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.