Triple
T1587170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuerteventura |
E34090
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Tuineje
Tuineje is a coastal municipality on the island of Fuerteventura in Spain’s Canary Islands, known for its rural landscapes, beaches, and traditional Canarian culture.
|
E180510
|
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: Tuineje | Statement: [Fuerteventura, hasMunicipality, Tuineje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuineje Context triple: [Fuerteventura, hasMunicipality, Tuineje]
-
A.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
B.
Taalunie
Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
-
C.
Vaitogi
Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
-
D.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
E.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
- 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: Tuineje Triple: [Fuerteventura, hasMunicipality, Tuineje]
Generated description
Tuineje is a coastal municipality on the island of Fuerteventura in Spain’s Canary Islands, known for its rural landscapes, beaches, and traditional Canarian culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuineje Target entity description: Tuineje is a coastal municipality on the island of Fuerteventura in Spain’s Canary Islands, known for its rural landscapes, beaches, and traditional Canarian culture.
-
A.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
B.
Taalunie
Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
-
C.
Vaitogi
Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
-
D.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
E.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9090b3a20819098fdb5605ee739d7 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad469b36548190b2bdf2324fbea30f |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad47189b388190acd217b2ba37533b |
completed | March 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad47ffc5088190aeba84f6d92ff86f |
completed | March 8, 2026, 9:57 a.m. |
Created at: March 4, 2026, 7:27 p.m.