Triple

T1489372
Position Surface form Disambiguated ID Type / Status
Subject Reunion District E29540 entity
Predicate skylineSignificance P1544 FINISHED
Object major contributor to Dallas skyline 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: major contributor to Dallas skyline | Statement: [Reunion District, skylineSignificance, major contributor to Dallas skyline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: skylineSignificance
Context triple: [Reunion District, skylineSignificance, major contributor to Dallas skyline]
  • A. navigationSignificance
    Indicates the degree to which something serves as a meaningful aid or reference point for determining or following a route or direction.
  • B. significantMonument
    Indicates that something is a monument of notable historical, cultural, or symbolic importance.
  • C. significantBuilding chosen
    Indicates that a building holds notable importance, prominence, or special status within a particular context (e.g., historical, cultural, architectural, or functional).
  • D. typeOfSignificance
    Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
  • E. hasScenicViewOf
    Indicates that one entity offers a visually appealing or picturesque view of another entity.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a6095481909e9d406ac9a41828 completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.