Triple

T11922260
Position Surface form Disambiguated ID Type / Status
Subject 1990 United States census E283683 entity
Predicate majorDataRelease P102375 FINISHED
Object Summary Tape File 3 (STF 3) E954665 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: Summary Tape File 3 (STF 3) | Statement: [1990 United States census, majorDataRelease, Summary Tape File 3 (STF 3)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summary Tape File 3 (STF 3)
Context triple: [1990 United States census, majorDataRelease, Summary Tape File 3 (STF 3)]
  • A. Summary Tape File 1 (STF 1) chosen
    Summary Tape File 1 (STF 1) is a primary 1990 U.S. Census data product providing detailed population and housing counts and basic demographic characteristics for small geographic areas.
  • B. ST3
    ST3 is a major Sound Transit expansion plan in the Seattle metropolitan area that funds and builds new light rail, bus rapid transit, and commuter rail projects over several decades.
  • C. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • D. TAR
    TAR is the ICAO airline designator assigned to Tarco Aviation, a Sudanese carrier operating passenger and cargo flights.
  • E. TAR
    TAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s Third Assessment Report on climate change.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45891f9c081909250a0aa0f7448d2 completed May 1, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:45 p.m.