Triple

T16439338
Position Surface form Disambiguated ID Type / Status
Subject A Hundred Million Suns E399257 entity
Predicate hasPart P35 FINISHED
Object Take Back the City E399247 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: Take Back the City | Statement: [A Hundred Million Suns, hasPart, Take Back the City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take Back the City
Context triple: [A Hundred Million Suns, hasPart, Take Back the City]
  • A. Take Back the City chosen
    "Take Back the City" is an anthemic alternative rock song by Snow Patrol that celebrates urban life and civic pride.
  • B. Back in the City
    "Back in the City" is a song by American singer Sheena Easton from her 1984 pop album *A Private Heaven*.
  • C. The City Is Mine
    "The City Is Mine" is a song by rapper Drake featuring Lil Wayne, known for its introspective lyrics and early showcase of Drake's signature melodic hip-hop style.
  • D. The City Is Mine
    "The City Is Mine" is a hip-hop track by Jay-Z featuring Blackstreet, known for its smooth production and lyrics asserting dominance and legacy in the rap game.
  • E. We Own This City
    We Own This City is an American crime drama miniseries that chronicles the rise and fall of the Baltimore Police Department’s corrupt Gun Trace Task Force, based on true events.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba720a48190b0b412225e993e52 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4971e08190821d6b5aeed05624 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.