Triple

T7732539
Position Surface form Disambiguated ID Type / Status
Subject Mun River E175295 entity
Predicate hasCityOnBank P7935 FINISHED
Object Surin
Surin is a city in northeastern Thailand known for its annual elephant festival and rich Khmer-influenced culture.
 E684057 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: Surin | Statement: [Mun River, hasCityOnBank, Surin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Surin
Context triple: [Mun River, hasCityOnBank, Surin]
  • A. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • B. Ouanalao
    Ouanalao is the indigenous Arawak name historically used for the Caribbean island of Saint Barthélemy.
  • C. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • D. Seto
    Seto is a South Estonian dialect and cultural variety spoken by the Seto people, known for its distinct linguistic features and rich folk traditions.
  • E. Seto
    Seto is a city in Kagawa Prefecture, Japan, known for its traditional ceramics and role as a regional cultural and industrial center.
  • 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: Surin
Triple: [Mun River, hasCityOnBank, Surin]
Generated description
Surin is a city in northeastern Thailand known for its annual elephant festival and rich Khmer-influenced culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Surin
Target entity description: Surin is a city in northeastern Thailand known for its annual elephant festival and rich Khmer-influenced culture.
  • A. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • B. Ouanalao
    Ouanalao is the indigenous Arawak name historically used for the Caribbean island of Saint Barthélemy.
  • C. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • D. Seto
    Seto is a South Estonian dialect and cultural variety spoken by the Seto people, known for its distinct linguistic features and rich folk traditions.
  • E. Seto
    Seto is a city in Kagawa Prefecture, Japan, known for its traditional ceramics and role as a regional cultural and industrial center.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7033863d881909451a4f9675021a3 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b531a7f481908e4ff7f15b851070 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5fbda848190b09172740371fd47 completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b675ddb0819085d79dbba560d08f completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:06 p.m.