Triple

T32180259
Position Surface form Disambiguated ID Type / Status
Subject On Such a Full Sea E821959 entity
Predicate laborSettlementName P106368 FINISHED
Object B-Mor
B-Mor is a dystopian, regimented labor settlement in Chang-rae Lee’s novel "On Such a Full Sea," built on the remnants of Baltimore and inhabited largely by descendants of Chinese immigrant workers.
 E1995132 NE FINISHED

How this triple was built (3 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: B-Mor | Statement: [On Such a Full Sea, laborSettlementName, B-Mor]
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: B-Mor
Triple: [On Such a Full Sea, laborSettlementName, B-Mor]
Generated description
B-Mor is a dystopian, regimented labor settlement in Chang-rae Lee’s novel "On Such a Full Sea," built on the remnants of Baltimore and inhabited largely by descendants of Chinese immigrant workers.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: laborSettlementName
Context triple: [On Such a Full Sea, laborSettlementName, B-Mor]
  • A. nativeTitleSettlement
    Indicates that a legal settlement has been reached recognizing or resolving native or indigenous title rights to land or territory.
  • B. hasSettlementName chosen
    Indicates that a settlement is associated with a specific name by which it is known.
  • C. nativeTitleSettlementWith
    Indicates a legal or formal settlement agreement concerning native or indigenous title rights between the related parties.
  • D. settlementCity
    Indicates that a settlement is located within or corresponds to a particular city.
  • E. organizedSettlement
    Indicates that an entity actively planned, coordinated, and arranged the establishment or occurrence of a settlement.
  • F. None of above.

Provenance (6 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_69f3490755288190aee11740a34862f9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba7cbc708190ab91b828e5ef2976 completed May 3, 2026, 3:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0be0fbe88190a1f34d8f161ca607 completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f15c01ddc8190917b27116de5192e completed June 14, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a2f161bae0c81908f76582676bdf681 completed June 14, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:34 a.m.