Triple

T9312095
Position Surface form Disambiguated ID Type / Status
Subject daemontools E224029 entity
Predicate component P35 FINISHED
Object multilog
multilog is a logging utility from the daemontools suite designed to reliably capture, rotate, and manage service log files.
E792080 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: multilog | Statement: [daemontools, component, multilog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: multilog
Context triple: [daemontools, component, multilog]
  • A. ULTI
    ULTI was the stock ticker symbol for Ultimate Software, a former U.S.-based provider of cloud-based human capital management (HCM) and payroll solutions.
  • B. Mul
    Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
  • C. MLN
    MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • D. Muchik
    Muchik is an extinct indigenous language once spoken by the Mochica people along Peru’s northern coast.
  • E. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • 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: multilog
Triple: [daemontools, component, multilog]
Generated description
multilog is a logging utility from the daemontools suite designed to reliably capture, rotate, and manage service log files.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: multilog
Target entity description: multilog is a logging utility from the daemontools suite designed to reliably capture, rotate, and manage service log files.
  • A. ULTI
    ULTI was the stock ticker symbol for Ultimate Software, a former U.S.-based provider of cloud-based human capital management (HCM) and payroll solutions.
  • B. Mul
    Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
  • C. MLN
    MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • D. Muchik
    Muchik is an extinct indigenous language once spoken by the Mochica people along Peru’s northern coast.
  • E. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ae96e481909a1af9ea1c91f2b2 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c797640c8190be003e321faf3b86 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0cb9605608190b0c5f7149b2194a9 completed April 4, 2026, 8:28 a.m.
NED2 Entity disambiguation (via description) batch_69d0cd0028048190a94cd7e8971f8940 completed April 4, 2026, 8:34 a.m.
Created at: March 30, 2026, 7:37 p.m.