Triple

T2509457
Position Surface form Disambiguated ID Type / Status
Subject Wapama (disassembled) E52666 entity
Predicate shipName P14494 FINISHED
Object Wapama
Wapama was a historic wooden steam schooner built in 1915 that served the West Coast lumber trade and later became a preserved museum ship in San Francisco before being dismantled.
 E273033 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: Wapama | Statement: [Wapama (disassembled), shipName, Wapama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wapama
Context triple: [Wapama (disassembled), shipName, Wapama]
  • A. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • B. Coquihani
    Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • E. Takutea
    Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
  • 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: Wapama
Triple: [Wapama (disassembled), shipName, Wapama]
Generated description
Wapama was a historic wooden steam schooner built in 1915 that served the West Coast lumber trade and later became a preserved museum ship in San Francisco before being dismantled.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wapama
Target entity description: Wapama was a historic wooden steam schooner built in 1915 that served the West Coast lumber trade and later became a preserved museum ship in San Francisco before being dismantled.
  • A. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • B. Coquihani
    Coquihani is a traditional Zapotec deity associated with the indigenous religious beliefs and cosmology of the Zapotec people of Oaxaca, Mexico.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • E. Takutea
    Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ed94a08190a172a426c2123f36 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1faa33148190a3ad6ece7432b81f completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af20aafd008190ad9fee7c154f8597 completed March 9, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69af2193102c81908f5fe1c899cc1a85 completed March 9, 2026, 7:37 p.m.
Created at: March 6, 2026, 9:46 p.m.