Triple
T7804360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuineje |
E180510
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tarajalejo
Tarajalejo is a coastal village and tourist resort on the island of Fuerteventura in Spain’s Canary Islands.
|
E694313
|
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: Tarajalejo | Statement: [Tuineje, hasSettlement, Tarajalejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarajalejo Context triple: [Tuineje, hasSettlement, Tarajalejo]
-
A.
Jauja
Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
-
B.
Tabasalu
Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
-
C.
Tarare
Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
-
D.
Topilejo
Topilejo is a rural community in southern Mexico City known for its forests, agricultural traditions, and proximity to the mountainous Cumbres del Ajusco region.
-
E.
Tijarafe
Tijarafe is a small rural municipality on the northwest coast of the Canary Island of La Palma, known for its dramatic cliffs, traditional agriculture, and scenic Atlantic views.
- 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: Tarajalejo Triple: [Tuineje, hasSettlement, Tarajalejo]
Generated description
Tarajalejo is a coastal village and tourist resort on the island of Fuerteventura in Spain’s Canary Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarajalejo Target entity description: Tarajalejo is a coastal village and tourist resort on the island of Fuerteventura in Spain’s Canary Islands.
-
A.
Jauja
Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
-
B.
Tabasalu
Tabasalu is a small town in northern Estonia that serves as the main local hub for the surrounding Harku Parish near the capital, Tallinn.
-
C.
Tarare
Tarare is a commune in eastern France known historically for its textile industry and its location in the hilly Beaujolais region of the Rhône department.
-
D.
Topilejo
Topilejo is a rural community in southern Mexico City known for its forests, agricultural traditions, and proximity to the mountainous Cumbres del Ajusco region.
-
E.
Tijarafe
Tijarafe is a small rural municipality on the northwest coast of the Canary Island of La Palma, known for its dramatic cliffs, traditional agriculture, and scenic Atlantic views.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf636def8819084117fababac06b2 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14439c8081908331caf450462a0e |
completed | March 31, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_69cb1638c9888190be533d55fd0b494f |
completed | March 31, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a49beb4819090532acabb9391b1 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:34 p.m.