Triple

T15387448
Position Surface form Disambiguated ID Type / Status
Subject ESO long-term programme E367952 entity
Predicate abbreviation P43 FINISHED
Object LTP
LTP is the commonly used abbreviation for ESO’s long-term observational programmes conducted with its telescopes.
 E1154727 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: LTP | Statement: [ESO long-term programme, abbreviation, LTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LTP
Context triple: [ESO long-term programme, abbreviation, LTP]
  • A. LTP
    LTP is the National Rail station code for Littleport railway station in Cambridgeshire, England.
  • B. LT
    LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • C. LT
    LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
  • D. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • E. LPT
    LPT is the National Rail station code for Longport railway station in Staffordshire, England.
  • 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: LTP
Triple: [ESO long-term programme, abbreviation, LTP]
Generated description
LTP is the commonly used abbreviation for ESO’s long-term observational programmes conducted with its telescopes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LTP
Target entity description: LTP is the commonly used abbreviation for ESO’s long-term observational programmes conducted with its telescopes.
  • A. LTP
    LTP is the National Rail station code for Littleport railway station in Cambridgeshire, England.
  • B. LT
    LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
  • C. LT
    LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • D. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • E. LPT
    LPT is the National Rail station code for Longport railway station in Staffordshire, England.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134bf8b4819092d77c44d0207e3b completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141b025c8190ac5ac9400ff36133 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff1519100c819083ee0342bf25d89e completed May 9, 2026, 11:06 a.m.
Created at: April 10, 2026, 3:19 a.m.