Triple

T1838206
Position Surface form Disambiguated ID Type / Status
Subject Ethiopian calendar E41113 entity
Predicate hasMonth P6433 FINISHED
Object Pagumen
Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
 E206772 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: Pagumen | Statement: [Ethiopian calendar, hasMonth, Pagumen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pagumen
Context triple: [Ethiopian calendar, hasMonth, Pagumen]
  • A. Pago Pago
    Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
  • B. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • C. GrabPay
    GrabPay is Grab’s digital wallet and mobile payment service used for cashless transactions across transport, food delivery, and everyday purchases in Southeast Asia.
  • D. MobilePay
    MobilePay is a popular Nordic mobile payment app that allows users to send and receive money, pay in stores and online, and manage everyday transactions via their smartphones.
  • E. PiTaPa
    PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
  • 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: Pagumen
Triple: [Ethiopian calendar, hasMonth, Pagumen]
Generated description
Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pagumen
Target entity description: Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
  • A. Pago Pago
    Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
  • B. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • C. Pansio
    Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
  • D. GrabPay
    GrabPay is Grab’s digital wallet and mobile payment service used for cashless transactions across transport, food delivery, and everyday purchases in Southeast Asia.
  • E. MobilePay
    MobilePay is a popular Nordic mobile payment app that allows users to send and receive money, pay in stores and online, and manage everyday transactions via their smartphones.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb039cb588190b2626245a7f0bd67 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b93cd08190a467b56a0c0bd957 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf078a0819082c4bb48a3820ada completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adce8a68848190ab56f5df7311dbca completed March 8, 2026, 7:31 p.m.
Created at: March 4, 2026, 7:33 p.m.