Triple

T2458996
Position Surface form Disambiguated ID Type / Status
Subject M13 E54486 entity
Predicate alsoKnownAs P39 FINISHED
Object M 13
M 13 is a globular star cluster in the constellation Hercules and one of the brightest and best-known such clusters in the northern sky.
 E267996 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: M 13 | Statement: [M13, alsoKnownAs, M 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M 13
Context triple: [M13, alsoKnownAs, M 13]
  • A. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • B. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • C. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • D. M3
    M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
  • E. M11
    M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
  • 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: M 13
Triple: [M13, alsoKnownAs, M 13]
Generated description
M 13 is a globular star cluster in the constellation Hercules and one of the brightest and best-known such clusters in the northern sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M 13
Target entity description: M 13 is a globular star cluster in the constellation Hercules and one of the brightest and best-known such clusters in the northern sky.
  • A. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • B. M1
    M1 is the first and primary north–south metro line of the Warsaw Metro system in Poland.
  • C. M-14
    M-14 is a state highway in southeastern Michigan that serves as a major commuter route connecting Ann Arbor with the western suburbs of the Detroit metropolitan area.
  • D. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • E. M3
    M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10a35f88190b102a2cb5c88146e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0cff4248190832f75ce36a357e2 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef186935c81909301659a96e1a4e2 completed March 9, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69aef8272668819084626e890a49e1b3 completed March 9, 2026, 4:41 p.m.
Created at: March 6, 2026, 9:44 p.m.