Triple

T17830615
Position Surface form Disambiguated ID Type / Status
Subject Wanhua District E445242 entity
Predicate historicalName P65 FINISHED
Object Monga
Monga is the historical name of the area now known as Wanhua District, one of the oldest urban neighborhoods in Taipei, Taiwan.
 E1291522 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: Monga | Statement: [Wanhua District, historicalName, Monga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monga
Context triple: [Wanhua District, historicalName, Monga]
  • A. Kumonga
    Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
  • B. Mongyai
    Mongyai is a town in Myanmar’s Shan State historically associated with the rulers of the former South Hsenwi principality.
  • C. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • D. Kemuel
    Kemuel is a minor biblical figure mentioned in the Hebrew Bible as one of the descendants in Abraham’s extended family line.
  • E. Mongami
    Mongami is the small administrative center that serves as the capital of Aimeliik State in the island nation of Palau.
  • 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: Monga
Triple: [Wanhua District, historicalName, Monga]
Generated description
Monga is the historical name of the area now known as Wanhua District, one of the oldest urban neighborhoods in Taipei, Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monga
Target entity description: Monga is the historical name of the area now known as Wanhua District, one of the oldest urban neighborhoods in Taipei, Taiwan.
  • A. Kumonga
    Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
  • B. Mongyai
    Mongyai is a town in Myanmar’s Shan State historically associated with the rulers of the former South Hsenwi principality.
  • C. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • D. Kemuel
    Kemuel is a minor biblical figure mentioned in the Hebrew Bible as one of the descendants in Abraham’s extended family line.
  • E. Mongami
    Mongami is the small administrative center that serves as the capital of Aimeliik State in the island nation of Palau.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f3b0b881909b460809ac3ada92 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a030986606c819099a8ea86a3ef1c26 completed May 12, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0309e9e0108190bc1f60ddacef20cc completed May 12, 2026, 11:07 a.m.
Created at: April 10, 2026, 10:15 a.m.