Triple

T8290262
Position Surface form Disambiguated ID Type / Status
Subject Long-Term Servicing Branch E193875 entity
Predicate alsoKnownAs P39 FINISHED
Object LTSB
LTSB is a specialized edition of Windows designed for long-term stability and minimal feature changes, primarily used in enterprise and mission-critical environments.
 E723445 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: LTSB | Statement: [Long-Term Servicing Branch, alsoKnownAs, LTSB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LTSB
Context triple: [Long-Term Servicing Branch, alsoKnownAs, LTSB]
  • A. LFSB
    LFSB is the ICAO airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
  • B. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • C. LSN
    LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
  • D. LBSF
    LBSF is the ICAO airport code for Sofia Airport, the main international airport serving Bulgaria’s capital city, Sofia.
  • E. SLST
    SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • 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: LTSB
Triple: [Long-Term Servicing Branch, alsoKnownAs, LTSB]
Generated description
LTSB is a specialized edition of Windows designed for long-term stability and minimal feature changes, primarily used in enterprise and mission-critical environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LTSB
Target entity description: LTSB is a specialized edition of Windows designed for long-term stability and minimal feature changes, primarily used in enterprise and mission-critical environments.
  • A. LFSB
    LFSB is the ICAO airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
  • B. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • C. LSN
    LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
  • D. LBSF
    LBSF is the ICAO airport code for Sofia Airport, the main international airport serving Bulgaria’s capital city, Sofia.
  • E. SLST
    SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c99fdd48190a3f304237be609a0 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68916c5481908c42f259298b0670 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.