Triple

T23628434
Position Surface form Disambiguated ID Type / Status
Subject Pelican Island E583536 entity
Predicate hasShipWreck P49889 FINISHED
Object USS Stewart (DE-238)
USS Stewart (DE-238) was an Edsall-class destroyer escort of the United States Navy that served during World War II and is now preserved as a museum ship.
 E1593154 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: USS Stewart (DE-238) | Statement: [Pelican Island, hasShipWreck, USS Stewart (DE-238)]
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: USS Stewart (DE-238)
Triple: [Pelican Island, hasShipWreck, USS Stewart (DE-238)]
Generated description
USS Stewart (DE-238) was an Edsall-class destroyer escort of the United States Navy that served during World War II and is now preserved as a museum ship.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasShipWreck
Context triple: [Pelican Island, hasShipWreck, USS Stewart (DE-238)]
  • A. hasShipwrecks chosen
    Indicates that one entity contains, includes, or is associated with shipwrecks located within it or under its control.
  • B. hasShipwreckName
    Indicates that a shipwreck is associated with a specific name by which it is identified.
  • C. shipwreckUse
    Indicates that an entity makes use of, interacts with, or derives benefit from a shipwreck.
  • D. shipwreckEvent
    Indicates an event in which a ship is destroyed, stranded, or severely damaged, typically resulting in loss or abandonment at sea or near a shoreline.
  • E. shipwreck
    Indicates that a vessel has been destroyed, stranded, or severely damaged, typically at sea or near a shoreline.
  • 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_69e248fc8d74819091bd5baef2f36f6f completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e5ae80819085c417e8d81b74ad completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f459c69388190b65c4c2a456fd5f7 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46b69d288190b3fb6dcea9fb44b5 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f47974f7c819088de0827ae15dd61 completed May 21, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:46 p.m.