Triple

T1936915
Position Surface form Disambiguated ID Type / Status
Subject Freescale Semiconductor E41462 entity
Predicate tickerSymbol P1447 FINISHED
Object FSL
FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
E216076 NE FINISHED

How this triple was built (4 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: FSL | Statement: [Freescale Semiconductor, tickerSymbol, FSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FSL
Context triple: [Freescale Semiconductor, tickerSymbol, FSL]
  • A. FOSL
    FOSL is the stock ticker symbol for Fossil Group, an American fashion company best known for its watches, jewelry, and accessories.
  • B. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • C. FAS
    FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
  • D. FSA
    FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
  • E. FWS
    FWS is a U.S. federal financial aid program that provides part-time jobs to eligible college students to help them pay for educational expenses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FSL
Triple: [Freescale Semiconductor, tickerSymbol, FSL]
Generated description
FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FSL
Target entity description: FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
  • A. FOSL
    FOSL is the stock ticker symbol for Fossil Group, an American fashion company best known for its watches, jewelry, and accessories.
  • B. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • C. FAS
    FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
  • D. FSA
    FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
  • E. FWS
    FWS is a U.S. federal financial aid program that provides part-time jobs to eligible college students to help them pay for educational expenses.
  • F. None of above. chosen

Provenance (5 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c5f6e481909b2d95861e2098f9 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f6285c8190925af156f49cf9a2 completed March 8, 2026, 10:11 p.m.
NEDg Description generation batch_69adf4aea46481908b5da7c4251dd867 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf52b63c481908fcb9db4c40875b4 completed March 8, 2026, 10:16 p.m.
Created at: March 4, 2026, 7:36 p.m.