Triple

T11892156
Position Surface form Disambiguated ID Type / Status
Subject Inner West Sydney E282941 entity
Predicate contains P35 FINISHED
Object Tempe E689889 NE 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: Tempe | Statement: [Inner West Sydney, contains, Tempe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempe
Context triple: [Inner West Sydney, contains, Tempe]
  • A. Tempe
    Tempe is a city in the Phoenix metropolitan area of Arizona, known for being home to Arizona State University and its vibrant college-town atmosphere.
  • B. Tempe chosen
    Tempe is a town in South Sulawesi, Indonesia, serving as the administrative center of Wajo Regency.
  • C. Tucson
    Tucson is a major city in southern Arizona known for its desert landscape, rich Native American and Mexican cultural influences, and the University of Arizona.
  • D. Tempe Valley
    Tempe Valley is a narrow, scenic gorge in the region of Thessaly in central Greece, historically renowned for its natural beauty and mythological associations.
  • E. Phoenix, Arizona
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its desert climate, sprawling metropolitan area, and role as a major economic and cultural center of the American Southwest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a3f7548190adfb567f060a175a completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5753848190b0ab7da327c9aa22 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:44 p.m.