Triple

T1080120
Position Surface form Disambiguated ID Type / Status
Subject Texas Instruments E23925 entity
Predicate tickerSymbol P1447 FINISHED
Object TXN E3676 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: TXN | Statement: [Texas Instruments, tickerSymbol, TXN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TXN
Context triple: [Texas Instruments, tickerSymbol, TXN]
  • A. TXN chosen
    TXN is the stock ticker symbol for Texas Instruments Incorporated, a major American technology company known for designing and manufacturing semiconductors and integrated circuits.
  • B. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • C. UTX
    UTX is the former stock ticker symbol for United Technologies Corporation, a major American aerospace and industrial conglomerate that later merged with Raytheon Company.
  • D. BX
    BX is the stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • E. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94509d08190964509ea4a2d7912 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42addb188190a26dd3071abf64d6 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.