Triple
T1874065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valencian Community |
E39098
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Torrevieja
Torrevieja is a coastal city in southeastern Spain known for its salt lakes, beaches, and tourism-driven economy.
|
E221170
|
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: Torrevieja | Statement: [Valencian Community, hasMajorCity, Torrevieja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrevieja Context triple: [Valencian Community, hasMajorCity, Torrevieja]
-
A.
Estepona
Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
-
B.
Almería
Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
-
C.
Málaga
Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
-
D.
Valencia
Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
-
E.
Valencia
Valencia is a major industrial and commercial city in north-central Venezuela and the capital of Carabobo state.
- 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: Torrevieja Triple: [Valencian Community, hasMajorCity, Torrevieja]
Generated description
Torrevieja is a coastal city in southeastern Spain known for its salt lakes, beaches, and tourism-driven economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torrevieja Target entity description: Torrevieja is a coastal city in southeastern Spain known for its salt lakes, beaches, and tourism-driven economy.
-
A.
Estepona
Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
-
B.
Almería
Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
-
C.
Málaga
Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
-
D.
Valencia
Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
-
E.
Valencia
Valencia is a major industrial and commercial city in north-central Venezuela and the capital of Carabobo state.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d648ec8190a21445ddca6f9aa6 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030bfbcc8190842a2bc69afb0db2 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae03647d5881908c5952dd3e2015a7 |
completed | March 8, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae03f3611c8190b1cb90c9e59429cc |
completed | March 8, 2026, 11:19 p.m. |
Created at: March 4, 2026, 7:34 p.m.