Triple

T16329435
Position Surface form Disambiguated ID Type / Status
Subject Inês E396508 entity
Predicate hasShortForm P43 FINISHED
Object Nês
Nês is a Portuguese given name, commonly used as a short or affectionate form of Inês.
 E1209308 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: Nês | Statement: [Inês, hasShortForm, Nês]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nês
Context triple: [Inês, hasShortForm, Nês]
  • A. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • B. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • C. Nesna
    Nesna is a small coastal municipality in Nordland county, Norway, known for its fjord landscape and island-dotted coastline along the Helgeland region.
  • D. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • E. Nieste
    Nieste is a small settlement located within Germany's historic Westphalia region.
  • 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: Nês
Triple: [Inês, hasShortForm, Nês]
Generated description
Nês is a Portuguese given name, commonly used as a short or affectionate form of Inês.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nês
Target entity description: Nês is a Portuguese given name, commonly used as a short or affectionate form of Inês.
  • A. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • B. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • C. Nesna
    Nesna is a small coastal municipality in Nordland county, Norway, known for its fjord landscape and island-dotted coastline along the Helgeland region.
  • D. Nesiota
    Nesiota is a small, likely extinct genus of flowering plants in the buckthorn family Rhamnaceae, historically known from the South Atlantic island of St. Helena.
  • E. Nieste
    Nieste is a small settlement located within Germany's historic Westphalia region.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4ddc5608190b24fe2e871691470 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da915ac8190820acbe0db72c8a1 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002e6d02ac8190b04573d3261258b2 completed May 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a003042b0388190ab9cc52381d51169 completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:07 a.m.