Triple

T25317831
Position Surface form Disambiguated ID Type / Status
Subject Cape gannet E634795 entity
Predicate breedingColony P131847 FINISHED
Object Lambert’s Bay
Lambert’s Bay is a small coastal town on South Africa’s west coast renowned for its large seabird colony, especially Cape gannets, and its rich marine and fishing heritage.
 E1765587 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: Lambert’s Bay | Statement: [Cape gannet, breedingColony, Lambert’s Bay]
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: Lambert’s Bay
Triple: [Cape gannet, breedingColony, Lambert’s Bay]
Generated description
Lambert’s Bay is a small coastal town on South Africa’s west coast renowned for its large seabird colony, especially Cape gannets, and its rich marine and fishing heritage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: breedingColony
Context triple: [Cape gannet, breedingColony, Lambert’s Bay]
  • A. notableBreedingColony chosen
    Indicates that an entity serves as a significant or well-known site where a particular species regularly breeds or nests.
  • B. breedingCenter
    Indicates a relationship where an entity serves as a facility or location dedicated to breeding or reproducing organisms.
  • C. breedingType
    Indicates the method or strategy by which organisms reproduce or are bred.
  • D. breedingFamily
    Indicates that one entity belongs to or is part of the family group used for breeding or reproduction with the other entity.
  • E. colonyOf
    Indicates that one entity is a colony belonging to, founded by, or politically dependent on another entity.
  • 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_69e75a9847c08190bb02990d06d5ffb7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c774d908190b4bc89098298c948 completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129d440e448190bad8b3e249c41698 completed May 24, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a129dac5d2081908e48a30357a8547f completed May 24, 2026, 6:41 a.m.
PD Predicate disambiguation batch_69f49377411c8190b2188de444d76795 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 1:28 p.m.