Triple
T9173371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Castellón |
E220134
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Borriana
Borriana is a coastal town and municipality in eastern Spain known for its citrus agriculture and Mediterranean beaches.
|
E781695
|
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: Borriana | Statement: [Province of Castellón, contains, Borriana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borriana Context triple: [Province of Castellón, contains, Borriana]
-
A.
Litochoro
Litochoro is a Greek town situated at the foot of Mount Olympus, known as a popular base for hiking and exploring the surrounding national park.
-
B.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
C.
Konitsa
Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
-
D.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
-
E.
Ballıca
Ballıca is a village in Turkey known as the birthplace of prominent Turkish politician Kemal Kılıçdaroğlu.
- 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: Borriana Triple: [Province of Castellón, contains, Borriana]
Generated description
Borriana is a coastal town and municipality in eastern Spain known for its citrus agriculture and Mediterranean beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borriana Target entity description: Borriana is a coastal town and municipality in eastern Spain known for its citrus agriculture and Mediterranean beaches.
-
A.
Litochoro
Litochoro is a Greek town situated at the foot of Mount Olympus, known as a popular base for hiking and exploring the surrounding national park.
-
B.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
C.
Konitsa
Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
-
D.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
-
E.
Ballıca
Ballıca is a village in Turkey known as the birthplace of prominent Turkish politician Kemal Kılıçdaroğlu.
- 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_69d0549d81d88190bea0995ad0016437 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:22 p.m.