Triple
T18582326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Gata |
E454144
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Villamiel
Villamiel is a small rural municipality in the Sierra de Gata region of Extremadura, western Spain, known for its traditional architecture and natural surroundings.
|
E1331859
|
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: Villamiel | Statement: [Sierra de Gata, containsSettlement, Villamiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villamiel Context triple: [Sierra de Gata, containsSettlement, Villamiel]
-
A.
Nummela
Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
-
B.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
C.
Ilomantsi
Ilomantsi is a rural municipality in eastern Finland known for its vast forests, Orthodox cultural heritage, and position near the Russian border.
-
D.
Vaila
Vaila is a small settlement located within Harku Parish in northern Estonia.
-
E.
Laventille
Laventille is an urban community in Port of Spain, Trinidad and Tobago, known for its dense hillside neighborhoods and significant cultural and musical contributions, particularly to steelpan music.
- 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: Villamiel Triple: [Sierra de Gata, containsSettlement, Villamiel]
Generated description
Villamiel is a small rural municipality in the Sierra de Gata region of Extremadura, western Spain, known for its traditional architecture and natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villamiel Target entity description: Villamiel is a small rural municipality in the Sierra de Gata region of Extremadura, western Spain, known for its traditional architecture and natural surroundings.
-
A.
Nummela
Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
-
B.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
C.
Ilomantsi
Ilomantsi is a rural municipality in eastern Finland known for its vast forests, Orthodox cultural heritage, and position near the Russian border.
-
D.
Vaila
Vaila is a small settlement located within Harku Parish in northern Estonia.
-
E.
Laventille
Laventille is an urban community in Port of Spain, Trinidad and Tobago, known for its dense hillside neighborhoods and significant cultural and musical contributions, particularly to steelpan music.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d10b1c8190a401df810b7290c9 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f88f6870819085ebffc7c77e483f |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9fc493881909ba9159748d4f3fb |
completed | May 13, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fad8daa88190961d643d30a52aa7 |
completed | May 13, 2026, 10:27 p.m. |
Created at: April 10, 2026, 11:44 a.m.