Triple

T7970076
Position Surface form Disambiguated ID Type / Status
Subject Resistance E185300 entity
Predicate baseOfOperations P2591 FINISHED
Object D’Qar
D’Qar is a remote jungle-covered planet in the Star Wars universe that served as the primary hidden headquarters of the Resistance during its conflict with the First Order.
 E704816 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: D’Qar | Statement: [Resistance, baseOfOperations, D’Qar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: D’Qar
Context triple: [Resistance, baseOfOperations, D’Qar]
  • A. Ngaraard State
    Ngaraard State is one of the states of Palau, located on the island of Babeldaob and known for its traditional villages and coastal landscapes.
  • B. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • C. Takrur
    Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
  • D. Makuria
    Makuria was a medieval Nubian kingdom in what is now Sudan, notable for its Christian culture and long resistance to Arab expansion.
  • E. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • 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: D’Qar
Triple: [Resistance, baseOfOperations, D’Qar]
Generated description
D’Qar is a remote jungle-covered planet in the Star Wars universe that served as the primary hidden headquarters of the Resistance during its conflict with the First Order.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: D’Qar
Target entity description: D’Qar is a remote jungle-covered planet in the Star Wars universe that served as the primary hidden headquarters of the Resistance during its conflict with the First Order.
  • A. Ngaraard State
    Ngaraard State is one of the states of Palau, located on the island of Babeldaob and known for its traditional villages and coastal landscapes.
  • B. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • C. Takrur
    Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
  • D. Makuria
    Makuria was a medieval Nubian kingdom in what is now Sudan, notable for its Christian culture and long resistance to Arab expansion.
  • E. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd304dc8190b9feee5e17fc66db completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0aadcc48190ae35154195099029 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cc46c11e68819087f5083bb85ec7ab completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47fa1524819089ef5b3f8bf7f670 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:13 p.m.