Triple
T15934238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boticas Municipality |
E386398
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Boticas |
E1185127
|
NE FINISHED |
How this triple was built (2 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, hasSettlement, Boticas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boticas Context triple: [Boticas Municipality, hasSettlement, Boticas]
-
A.
Boticas
chosen
Boticas is a town in northern Portugal that serves as the seat and main population center of the surrounding Boticas Municipality.
-
B.
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.
-
C.
Camuñas
Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
-
D.
Los Sauces
Los Sauces is a small town and commune in Chile’s Araucanía Region, known for its rural character and forestry-based economy.
-
E.
Cambadélis
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ffbe727c348190907c9e7a5db6031d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.