Triple

T12448088
Position Surface form Disambiguated ID Type / Status
Subject West Coast Division of Sabah E297453 entity
Predicate hasMajorUrbanCentre P316 FINISHED
Object Papar
Papar is a coastal town and important urban center in the Malaysian state of Sabah, known for its agricultural surroundings and role as a local administrative and commercial hub.
E984011 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: Papar | Statement: [West Coast Division of Sabah, hasMajorUrbanCentre, Papar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papar
Context triple: [West Coast Division of Sabah, hasMajorUrbanCentre, Papar]
  • A. Pāpā
    Pāpā is a primordial earth goddess in Hawaiian mythology, revered as a creator figure and ancestral mother of the Hawaiian people.
  • B. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • C. Papariga
    Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
  • D. Papp
    Papp is a Hungarian surname most famously associated with László Papp, a legendary three-time Olympic boxing champion.
  • E. Papi
    "Papi" is a dance-pop song by Jennifer Lopez, produced by Moroccan-Swedish producer RedOne and known for its upbeat, club-ready sound.
  • 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: Papar
Triple: [West Coast Division of Sabah, hasMajorUrbanCentre, Papar]
Generated description
Papar is a coastal town and important urban center in the Malaysian state of Sabah, known for its agricultural surroundings and role as a local administrative and commercial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Papar
Target entity description: Papar is a coastal town and important urban center in the Malaysian state of Sabah, known for its agricultural surroundings and role as a local administrative and commercial hub.
  • A. Pāpā
    Pāpā is a primordial earth goddess in Hawaiian mythology, revered as a creator figure and ancestral mother of the Hawaiian people.
  • B. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • C. Papariga
    Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
  • D. Papp
    Papp is a Hungarian surname most famously associated with László Papp, a legendary three-time Olympic boxing champion.
  • E. Papi
    "Papi" is a dance-pop song by Jennifer Lopez, produced by Moroccan-Swedish producer RedOne and known for its upbeat, club-ready sound.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1501448190b0a95d7cd249ca9d completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f640ef7dd08190bf78d04cffac1a44 completed May 2, 2026, 6:22 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:56 p.m.