Triple

T6231367
Position Surface form Disambiguated ID Type / Status
Subject WikiWikiWeb E139360 entity
Predicate inspired P9 FINISHED
Object MoinMoin
MoinMoin is an open-source, Python-based wiki engine designed for collaborative editing and easy web-based documentation.
E578413 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: MoinMoin | Statement: [WikiWikiWeb, inspired, MoinMoin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MoinMoin
Context triple: [WikiWikiWeb, inspired, MoinMoin]
  • A. Moin
    Moin is a small settlement located in the Gevgelija region of southeastern North Macedonia, near the border with Greece.
  • B. Werkzeug
    Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
  • C. Ning
    Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
  • D. Domfront
    Domfront is a historic town in northwestern France known for its medieval fortress and well-preserved old quarter.
  • E. Voila
    "Voila" is a French-language album by American singer Belinda Carlisle that features her interpretations of classic French pop and chanson songs.
  • 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: MoinMoin
Triple: [WikiWikiWeb, inspired, MoinMoin]
Generated description
MoinMoin is an open-source, Python-based wiki engine designed for collaborative editing and easy web-based documentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MoinMoin
Target entity description: MoinMoin is an open-source, Python-based wiki engine designed for collaborative editing and easy web-based documentation.
  • A. Moin
    Moin is a small settlement located in the Gevgelija region of southeastern North Macedonia, near the border with Greece.
  • B. Werkzeug
    Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
  • C. Ning
    Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
  • D. Domfront
    Domfront is a historic town in northwestern France known for its medieval fortress and well-preserved old quarter.
  • E. Voila
    "Voila" is a French-language album by American singer Belinda Carlisle that features her interpretations of classic French pop and chanson songs.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ec5be4819084d6df2e8dd2a542 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20defd338819099a23d00107c4edd completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c211c3c60c8190bd5e4f002c1569e0 completed March 24, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c214b9b83881909da9fedc7ce60f39 completed March 24, 2026, 4:36 a.m.
Created at: March 22, 2026, 4:22 p.m.