Triple

T10849090
Position Surface form Disambiguated ID Type / Status
Subject TxTag E256092 entity
Predicate shortName P43 FINISHED
Object TxTag E256092 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: TxTag | Statement: [TxTag, shortName, TxTag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TxTag
Context triple: [TxTag, shortName, TxTag]
  • A. TxTag chosen
    TxTag is an electronic toll collection system used on Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • B. TXN
    TXN is the stock ticker symbol for Texas Instruments Incorporated, a major American technology company known for designing and manufacturing semiconductors and integrated circuits.
  • C. K-TAG
    K-TAG is an electronic toll collection system used on the Kansas Turnpike and compatible highways, allowing drivers to pay tolls automatically via a windshield-mounted transponder.
  • D. EZ TAG
    EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • E. TollTag
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75115e4a88190b77be46b63db0c84 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.