Triple

T360135
Position Surface form Disambiguated ID Type / Status
Subject City Tavern site E7831 entity
Predicate reconstructionBuilt P12343 FINISHED
Object 20th century 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: 20th century | Statement: [City Tavern site, reconstructionBuilt, 20th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reconstructionBuilt
Context triple: [City Tavern site, reconstructionBuilt, 20th century]
  • A. reconstructedAfter
    Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
  • B. rebuiltFor
    Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
  • C. reconstructedAs
    Indicates that one entity has been rebuilt, recreated, or inferred based on evidence, models, or partial information from another entity.
  • D. rebuiltUnder
    Indicates that an entity was reconstructed or restored while being subject to the authority, control, or governance of another entity.
  • E. reconstructionYear
    Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebccb8d88190a31f7c443a0c8566 completed Feb. 28, 2026, 1:21 p.m.
PD Predicate disambiguation batch_69a2e95aeed48190b5e48865cc964938 completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea2c44408190946267525c88e811 completed Feb. 28, 2026, 1:14 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.