Triple

T10924857
Position Surface form Disambiguated ID Type / Status
Subject 4chan E258037 entity
Predicate hasPart P35 FINISHED
Object /mlp/
/mlp/ is 4chan’s board dedicated to discussion, content, and fandom surrounding the animated series "My Little Pony."
 E894106 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: /mlp/ | Statement: [4chan, hasPart, /mlp/]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: /mlp/
Context triple: [4chan, hasPart, /mlp/]
  • A. ML-1
    ML-1 is Pakistan Railways’ primary north–south main line, connecting major cities and serving as the backbone of the country’s rail transport system.
  • B. MLN
    MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • C. ML
    ML is the vehicle registration code for the Indian state of Meghalaya, used on license plates including those registered in Jowai.
  • D. ML
    ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
  • E. ML
    ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
  • 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: /mlp/
Triple: [4chan, hasPart, /mlp/]
Generated description
/mlp/ is 4chan’s board dedicated to discussion, content, and fandom surrounding the animated series "My Little Pony."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: /mlp/
Target entity description: /mlp/ is 4chan’s board dedicated to discussion, content, and fandom surrounding the animated series "My Little Pony."
  • A. ML-1
    ML-1 is Pakistan Railways’ primary north–south main line, connecting major cities and serving as the backbone of the country’s rail transport system.
  • B. MLN
    MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • C. ML
    ML is the vehicle registration code for the Indian state of Meghalaya, used on license plates including those registered in Jowai.
  • D. ML
    ML is the postcode area in central Scotland that covers Motherwell and surrounding towns.
  • E. ML
    ML is a post-nominal honorific indicating a recipient of Papua New Guinea’s Order of Logohu, a national order of merit.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.