Triple

T14998549
Position Surface form Disambiguated ID Type / Status
Subject Same District E374022 entity
Predicate administrativeCenter P1474 FINISHED
Object Same E374027 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: Same | Statement: [Same District, administrativeCenter, Same]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Same
Context triple: [Same District, administrativeCenter, Same]
  • A. Same chosen
    Same is a town in northeastern Tanzania that serves as an administrative and commercial center near the Pare Mountains in the Kilimanjaro area.
  • B. SAME
    SAME is the ICAO airport code for Governor Francisco Gabrielli International Airport, the main airport serving Mendoza, Argentina.
  • C. Same Same
    Same Same is a novel by Peter Mendelsund that explores themes of identity, imitation, and authenticity in a near-future world obsessed with copies and replicas.
  • D. Same Difference
    Same Difference is a poetry collection by British poet and critic Ben Wilkinson that explores themes of identity, mental health, and contemporary life through formally inventive, emotionally direct verse.
  • E. Still the Same
    "Still the Same" is a 1978 rock song by Bob Seger, known for its reflective lyrics about an unchanging, charismatic gambler and for being one of his signature hits.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dcbd7c88190ad1a302cd0c6ef28 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:54 a.m.