Triple
T21430646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humacao |
E528674
|
entity |
| Predicate | hasBarrio |
P4813
|
FINISHED |
| Object |
Margarita
Margarita is a barrio (district) of the municipality of Humacao in Puerto Rico, functioning as one of its local administrative and residential communities.
|
E1483932
|
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: Margarita | Statement: [Humacao, hasBarrio, Margarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarita Context triple: [Humacao, hasBarrio, Margarita]
-
A.
Margarita
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
B.
Margarita
Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
-
C.
One Margarita
"One Margarita" is a popular country party anthem by American singer Luke Bryan, known for its laid-back beach vibe and catchy, summer-themed lyrics.
-
D.
Palomas
Palomas is a small municipality located in the Tierra de Barros comarca of the Extremadura region in western Spain.
-
E.
Tequila and Bonetti
Tequila and Bonetti is an early-1990s American comedy-drama television series about a New York cop partnered with a talking police dog in a California beach town.
- 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: Margarita Triple: [Humacao, hasBarrio, Margarita]
Generated description
Margarita is a barrio (district) of the municipality of Humacao in Puerto Rico, functioning as one of its local administrative and residential communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margarita Target entity description: Margarita is a barrio (district) of the municipality of Humacao in Puerto Rico, functioning as one of its local administrative and residential communities.
-
A.
Margarita
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
B.
Margarita
Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
-
C.
One Margarita
"One Margarita" is a popular country party anthem by American singer Luke Bryan, known for its laid-back beach vibe and catchy, summer-themed lyrics.
-
D.
Palomas
Palomas is a small municipality located in the Tierra de Barros comarca of the Extremadura region in western Spain.
-
E.
Tequila and Bonetti
Tequila and Bonetti is an early-1990s American comedy-drama television series about a New York cop partnered with a talking police dog in a California beach town.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813fe2108190a4193f69667fe79e |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2ac2d188190b909826855b4d132 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c33c37e88190b559bbf98e589487 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3c6a208819096b2e4a2c92b3cb0 |
completed | May 17, 2026, 1:33 p.m. |
Created at: April 16, 2026, 5:49 p.m.