Triple

T37262201
Position Surface form Disambiguated ID Type / Status
Subject Abrolhos Islands E924284 entity
Predicate shipwreckSiteOf P187353 FINISHED
Object Batavia
Batavia was a Dutch East India Company ship whose infamous 1629 wreck and subsequent mutiny and massacres off Western Australia make it one of the most notorious maritime disasters in history.
 E2220444 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: Batavia | Statement: [Abrolhos Islands, shipwreckSiteOf, Batavia]
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: Batavia
Triple: [Abrolhos Islands, shipwreckSiteOf, Batavia]
Generated description
Batavia was a Dutch East India Company ship whose infamous 1629 wreck and subsequent mutiny and massacres off Western Australia make it one of the most notorious maritime disasters in history.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: shipwreckSiteOf
Context triple: [Abrolhos Islands, shipwreckSiteOf, Batavia]
  • A. 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.
  • B. shipwreckUse
    Indicates that an entity makes use of, interacts with, or derives benefit from a shipwreck.
  • C. shipwreck
    Indicates that a vessel has been destroyed, stranded, or severely damaged, typically at sea or near a shoreline.
  • D. shipwreckInvolved
    Indicates that an entity was involved in a shipwreck event, either as a participant, cause, or affected object.
  • E. shipwreckRoute
    Indicates a route or path along which a ship traveled or was intended to travel that ultimately resulted in a shipwreck at some point on that route.
  • F. None of above. chosen

Provenance (7 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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb4134225081909fd60703b8cae397 completed May 6, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40512ab58c8190b28643a685ab7c82 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051f3e8d08190b2e0db9d03b3a57e completed June 27, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a4052c19cdc8190afb2e5e3f9374eaa completed June 27, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69fb35bf767081908de8345358ca7f44 completed May 6, 2026, 12:36 p.m.
PDg Predicate description generation batch_69fb41333b548190912cb238ffc271c9 completed May 6, 2026, 1:25 p.m.
Created at: May 3, 2026, 4:15 p.m.