Triple

T8366909
Position Surface form Disambiguated ID Type / Status
Subject Nablus Governorate E197149 entity
Predicate containsVillage P4011 FINISHED
Object Duma
Duma is a Palestinian village located in the Nablus Governorate in the northern part of the West Bank.
E728130 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: Duma | Statement: [Nablus Governorate, containsVillage, Duma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duma
Context triple: [Nablus Governorate, containsVillage, Duma]
  • A. Duma
    Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
  • B. Stalinets
    Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
  • C. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • D. Taganana
    Taganana is a historic coastal village on Tenerife in Spain’s Canary Islands, known for its dramatic cliffs, traditional architecture, and location within the Anaga mountain range.
  • E. Barbusse
    Barbusse is the surname of Henri Barbusse, a French novelist and pacifist best known for his World War I novel "Le Feu" ("Under Fire").
  • 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: Duma
Triple: [Nablus Governorate, containsVillage, Duma]
Generated description
Duma is a Palestinian village located in the Nablus Governorate in the northern part of the West Bank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duma
Target entity description: Duma is a Palestinian village located in the Nablus Governorate in the northern part of the West Bank.
  • A. Duma
    Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
  • B. Stalinets
    Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
  • C. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • D. Taganana
    Taganana is a historic coastal village on Tenerife in Spain’s Canary Islands, known for its dramatic cliffs, traditional architecture, and location within the Anaga mountain range.
  • E. Barbusse
    Barbusse is the surname of Henri Barbusse, a French novelist and pacifist best known for his World War I novel "Le Feu" ("Under Fire").
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808cf80c8190941c3cc0248a5df2 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc78c0c208190ba590c74512a4043 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88456c8190ba8613b4cbf40fbb completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd75714881908f0b069a94ee334f completed April 2, 2026, 1:59 a.m.
Created at: March 30, 2026, 6 p.m.