Triple

T13297242
Position Surface form Disambiguated ID Type / Status
Subject Times Square–42 Street E316717 entity
Predicate servesLine P839 FINISHED
Object R E78746 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: R | Statement: [Times Square–42 Street, servesLine, R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R
Context triple: [Times Square–42 Street, servesLine, R]
  • A. R chosen
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • B. R
    R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
  • C. R
    R is a post-nominal letter used to denote a specific rank or class within the Danish Order of the Dannebrog.
  • D. R
    R is a letter of the modern Latin alphabet commonly used in numerous languages and writing systems worldwide.
  • E. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dad3648190bf360955fbdfb2f0 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.