Triple

T14689308
Position Surface form Disambiguated ID Type / Status
Subject The Reach E344996 entity
Predicate traversedByRiver P165 FINISHED
Object Mander
The Mander is the longest and most significant river in the Reach, a fertile region of Westeros in George R. R. Martin’s A Song of Ice and Fire series.
 E1114209 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: Mander | Statement: [The Reach, traversedByRiver, Mander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mander
Context triple: [The Reach, traversedByRiver, Mander]
  • A. Mandres
    Mandres is a small commune located within the canton of Breteuil in northern France.
  • B. Maddern
    Maddern is a surname most notably associated with American stage actress Bessie Maddern London.
  • C. Meldoise
    Meldoise is the French demonym for an inhabitant of the town of Meaux in the Île-de-France region.
  • D. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • E. Dalmally
    Dalmally is a small village in Argyll and Bute, western Scotland, known for its scenic Highland setting and proximity to Loch Awe.
  • 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: Mander
Triple: [The Reach, traversedByRiver, Mander]
Generated description
The Mander is the longest and most significant river in the Reach, a fertile region of Westeros in George R. R. Martin’s A Song of Ice and Fire series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mander
Target entity description: The Mander is the longest and most significant river in the Reach, a fertile region of Westeros in George R. R. Martin’s A Song of Ice and Fire series.
  • A. Mandres
    Mandres is a small commune located within the canton of Breteuil in northern France.
  • B. Maddern
    Maddern is a surname most notably associated with American stage actress Bessie Maddern London.
  • C. Meldoise
    Meldoise is the French demonym for an inhabitant of the town of Meaux in the Île-de-France region.
  • D. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • E. Dalmally
    Dalmally is a small village in Argyll and Bute, western Scotland, known for its scenic Highland setting and proximity to Loch Awe.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5844de481908a796eaa474bfde9 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5fd6854819083957f2c653eb8b6 completed May 8, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69fde6ffc27881909427d24560011cdf completed May 8, 2026, 1:37 p.m.
Created at: April 10, 2026, 1:28 a.m.