Triple
T15934237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boticas Municipality |
E386398
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object |
Boticas
Boticas is a town in northern Portugal that serves as the seat and main population center of the surrounding Boticas Municipality.
|
E1185127
|
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: Boticas | Statement: [Boticas Municipality, hasAdministrativeCenter, Boticas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boticas Context triple: [Boticas Municipality, hasAdministrativeCenter, Boticas]
-
A.
The Carbonas
The Carbonas are an Atlanta-based punk rock band known for their raw, fast, and hook-driven garage punk sound that gained a cult following in the 2000s underground scene.
-
B.
Camuñas
Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
-
C.
Los Sauces
Los Sauces is a small town and commune in Chile’s Araucanía Region, known for its rural character and forestry-based economy.
-
D.
Cambadélis
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
-
E.
Betanzos
Betanzos is a historic town in Galicia, Spain, known for its well-preserved medieval quarter and traditional festivals.
- 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: Boticas Triple: [Boticas Municipality, hasAdministrativeCenter, Boticas]
Generated description
Boticas is a town in northern Portugal that serves as the seat and main population center of the surrounding Boticas Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boticas Target entity description: Boticas is a town in northern Portugal that serves as the seat and main population center of the surrounding Boticas Municipality.
-
A.
The Carbonas
The Carbonas are an Atlanta-based punk rock band known for their raw, fast, and hook-driven garage punk sound that gained a cult following in the 2000s underground scene.
-
B.
Camuñas
Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
-
C.
Los Sauces
Los Sauces is a small town and commune in Chile’s Araucanía Region, known for its rural character and forestry-based economy.
-
D.
Cambadélis
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
-
E.
Betanzos
Betanzos is a historic town in Galicia, Spain, known for its well-preserved medieval quarter and traditional festivals.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a7bdd88190b1d7349ef920fd06 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b514108190965e77346d8b476e |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb677927c8190bd45e7bae5fcf1ed |
completed | May 9, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7468fb88190a56cf1df5bd20f63 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:53 a.m.