Triple
T7633823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diez de Octubre |
E172823
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Víbora
Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
|
E678409
|
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: Víbora | Statement: [Diez de Octubre, contains, Víbora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Víbora Context triple: [Diez de Octubre, contains, Víbora]
-
A.
Constrictor
Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
-
B.
Snake
"Snake" is a raw, intense track by PJ Harvey from her critically acclaimed 1993 album "Rid of Me."
-
C.
Snake
Snake is the central protagonist of the 1993 action film "Airborne," around whom the movie’s primary conflicts and narrative developments revolve.
-
D.
Lagarto
Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
-
E.
Black Mamba
Black Mamba is the famous on-court alter ego and nickname of NBA legend Kobe Bryant, symbolizing his lethal scoring ability and fierce competitive mentality.
- 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: Víbora Triple: [Diez de Octubre, contains, Víbora]
Generated description
Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Víbora Target entity description: Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
-
A.
Constrictor
Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
-
B.
Snake
"Snake" is a raw, intense track by PJ Harvey from her critically acclaimed 1993 album "Rid of Me."
-
C.
Snake
Snake is the central protagonist of the 1993 action film "Airborne," around whom the movie’s primary conflicts and narrative developments revolve.
-
D.
Lagarto
Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
-
E.
Black Mamba
Black Mamba is the famous on-court alter ego and nickname of NBA legend Kobe Bryant, symbolizing his lethal scoring ability and fierce competitive mentality.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa72f2881908479049dd8d181a4 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870be4e18819089781c7493dea13b |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c87573c220819089e4f10f48669145 |
completed | March 29, 2026, 12:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c875e583708190b6d94d915b3461cb |
completed | March 29, 2026, 12:44 a.m. |
Created at: March 27, 2026, 3:57 p.m.