Triple

T13953160
Position Surface form Disambiguated ID Type / Status
Subject Richborough E335584 entity
Predicate locatedOn P40 FINISHED
Object Wantsum Channel
The Wantsum Channel was a former strait in southeast England that once separated the Isle of Thanet from the mainland before silting up in the Middle Ages.
E1071252 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: Wantsum Channel | Statement: [Richborough, locatedOn, Wantsum Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wantsum Channel
Context triple: [Richborough, locatedOn, Wantsum Channel]
  • A. Tsumeb
    Tsumeb is a mining town in northern Namibia that serves as a key gateway to Etosha National Park and the surrounding region.
  • B. Chinnaru
    Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
  • C. Yamaji
    Yamaji is an alternative spelling of Yamatji, a term referring to certain Aboriginal Australian peoples and their traditional lands in Western Australia.
  • D. Udagawacho
    Udagawacho is a lively neighborhood in Tokyo’s Shibuya district known for its dense cluster of shops, cafes, and nightlife spots near Shibuya Crossing.
  • E. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • 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: Wantsum Channel
Triple: [Richborough, locatedOn, Wantsum Channel]
Generated description
The Wantsum Channel was a former strait in southeast England that once separated the Isle of Thanet from the mainland before silting up in the Middle Ages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wantsum Channel
Target entity description: The Wantsum Channel was a former strait in southeast England that once separated the Isle of Thanet from the mainland before silting up in the Middle Ages.
  • A. Tsumeb
    Tsumeb is a mining town in northern Namibia that serves as a key gateway to Etosha National Park and the surrounding region.
  • B. Chinnaru
    Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
  • C. Yamaji
    Yamaji is an alternative spelling of Yamatji, a term referring to certain Aboriginal Australian peoples and their traditional lands in Western Australia.
  • D. Udagawacho
    Udagawacho is a lively neighborhood in Tokyo’s Shibuya district known for its dense cluster of shops, cafes, and nightlife spots near Shibuya Crossing.
  • E. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cea88081908c37836447410b97 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba53a14c48190a5f954a73a9ca42c completed May 6, 2026, 8:31 p.m.
NED2 Entity disambiguation (via description) batch_69fba5c481fc8190bda5bb4afaf85288 completed May 6, 2026, 8:34 p.m.
Created at: April 9, 2026, 10:17 p.m.