Triple

T9173374
Position Surface form Disambiguated ID Type / Status
Subject Province of Castellón E220134 entity
Predicate contains P35 FINISHED
Object Onda
Onda is a historic town in eastern Spain’s Valencian Community, known for its medieval castle and ceramic industry.
E781874 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: Onda | Statement: [Province of Castellón, contains, Onda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onda
Context triple: [Province of Castellón, contains, Onda]
  • A. Naong
    Naong was a prominent Korean Buddhist monk and Seon (Zen) master of the Goryeo dynasty, renowned for revitalizing meditation practice and influencing later Korean Buddhism.
  • B. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • C. Ongan
    Ongan is a small language family comprising the indigenous Andamanese languages spoken primarily in the southern Andaman Islands of India.
  • D. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • E. Ong
    Ong is a common Chinese surname, particularly among Hokkien and Teochew speakers, often representing the Mandarin surname "Wang."
  • 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: Onda
Triple: [Province of Castellón, contains, Onda]
Generated description
Onda is a historic town in eastern Spain’s Valencian Community, known for its medieval castle and ceramic industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Onda
Target entity description: Onda is a historic town in eastern Spain’s Valencian Community, known for its medieval castle and ceramic industry.
  • A. Naong
    Naong was a prominent Korean Buddhist monk and Seon (Zen) master of the Goryeo dynasty, renowned for revitalizing meditation practice and influencing later Korean Buddhism.
  • B. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • C. Ongan
    Ongan is a small language family comprising the indigenous Andamanese languages spoken primarily in the southern Andaman Islands of India.
  • D. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • E. Ong
    Ong is a common Chinese surname, particularly among Hokkien and Teochew speakers, often representing the Mandarin surname "Wang."
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa128d48190b54b8f95d77d81cc completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054a36ef881908079558050c67e7c completed April 4, 2026, midnight
NEDg Description generation batch_69d05597d00c8190bdf51a53497c8042 completed April 4, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69d056619c988190a11b7eb4a31f93b2 completed April 4, 2026, 12:08 a.m.
Created at: March 30, 2026, 7:22 p.m.