Triple

T19977580
Position Surface form Disambiguated ID Type / Status
Subject STAAR test E493731 entity
Predicate hasComponent P35 FINISHED
Object TELPAS NE NERFINISHED

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: TELPAS | Statement: [STAAR test, hasComponent, TELPAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TELPAS
Context triple: [STAAR test, hasComponent, TELPAS]
  • A. TELPAS chosen
    TELPAS is a statewide assessment program in Texas that measures the English language proficiency of K–12 students who are learning English as a second language.
  • B. ELPA
    ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
  • C. ELP
    ELP is the three-letter National Rail station code for Ellesmere Port railway station in Cheshire, England.
  • D. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • E. ELP
    ELP is a British progressive rock supergroup best known for its virtuosic musicianship, elaborate live performances, and influential 1970s albums.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d1054e08190993b92b86ec5bbc8 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:27 p.m.