Triple

T8243040
Position Surface form Disambiguated ID Type / Status
Subject Mid-World E192781 entity
Predicate contains P35 FINISHED
Object Lud
Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
 E721700 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: Lud | Statement: [Mid-World, contains, Lud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lud
Context triple: [Mid-World, contains, Lud]
  • A. LUD
    LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
  • B. Ludes
    Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • C. Ludag
    Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
  • D. Ludens
    Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
  • E. Luda
    Luda is a nickname for Christopher Brian Bridges, better known as the American rapper and actor Ludacris.
  • 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: Lud
Triple: [Mid-World, contains, Lud]
Generated description
Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lud
Target entity description: Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
  • A. LUD
    LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
  • B. Ludes
    Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • C. Ludag
    Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
  • D. Ludens
    Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
  • E. Luda
    Luda is a nickname for Christopher Brian Bridges, better known as the American rapper and actor Ludacris.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb786f65708190a92ec282b280c813 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3521bfb48190935fe82a1f768adc completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a5d3bc8190801b1b0f09eee462 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4edfda788190a29f5d9a7a61f6ed completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:47 p.m.