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.