Triple
T21531414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Caguas |
E531238
|
entity |
| Predicate | hasBarrio |
P4813
|
FINISHED |
| Object |
Beatriz
Beatriz is a rural barrio (district) of the municipality of Caguas in Puerto Rico.
|
E1489138
|
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: Beatriz | Statement: [Municipality of Caguas, hasBarrio, Beatriz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatriz Context triple: [Municipality of Caguas, hasBarrio, Beatriz]
-
A.
Beatriz
Beatriz is a surname most notably associated with actress Stephanie Beatriz, known for her role as Rosa Diaz on the television series "Brooklyn Nine-Nine."
-
B.
Beatriz
Beatriz is a central fictional character in Julio Cortázar’s politically charged novel "Libro de Manuel," embodying the personal and ideological tensions of its revolutionary milieu.
-
C.
Beatriz
Beatriz is the empathetic, socially conscious holistic healer and protagonist of the film "Beatriz at Dinner," whose moral convictions clash with the privileged guests at a wealthy client’s dinner party.
-
D.
Marisabel
Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
-
E.
Pilar
Pilar is the introspective female protagonist of Paulo Coelho’s novel "By the River Piedra I Sat Down and Wept," whose spiritual and emotional journey drives the story.
- 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: Beatriz Triple: [Municipality of Caguas, hasBarrio, Beatriz]
Generated description
Beatriz is a rural barrio (district) of the municipality of Caguas in Puerto Rico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beatriz Target entity description: Beatriz is a rural barrio (district) of the municipality of Caguas in Puerto Rico.
-
A.
Beatriz
Beatriz is a surname most notably associated with actress Stephanie Beatriz, known for her role as Rosa Diaz on the television series "Brooklyn Nine-Nine."
-
B.
Beatriz
Beatriz is the empathetic, socially conscious holistic healer and protagonist of the film "Beatriz at Dinner," whose moral convictions clash with the privileged guests at a wealthy client’s dinner party.
-
C.
Beatriz
Beatriz is a central fictional character in Julio Cortázar’s politically charged novel "Libro de Manuel," embodying the personal and ideological tensions of its revolutionary milieu.
-
D.
Marisabel
Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
-
E.
Pilar
Pilar is a Spanish royal, known formally as Infanta Pilar, Duchess of Badajoz, and a member of the House of Bourbon.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d08ebf881909574e098404f93fa |
completed | April 26, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e83156f48190aa472ffa77a4de57 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e8d6d1a88190b3f48111ed6a4043 |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e94d6f2c819097df5c0a2b59e63a |
completed | May 17, 2026, 4:14 p.m. |
Created at: April 16, 2026, 6:27 p.m.