Triple
T9196942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balvanera |
E220738
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
San Cristóbal
San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
|
E784056
|
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: San Cristóbal | Statement: [Balvanera, borderedBy, San Cristóbal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Cristóbal Context triple: [Balvanera, borderedBy, San Cristóbal]
-
A.
San Cristóbal
San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
-
B.
San Cristóbal
San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
-
C.
San Cristóbal
San Cristóbal is an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
-
D.
San Cristóbal
San Cristóbal is a municipality in western Cuba located within Artemisa Province.
-
E.
San Andres
San Andres is a coastal municipality in the province of Romblon in the Philippines, known for its island scenery and rural communities.
- 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: San Cristóbal Triple: [Balvanera, borderedBy, San Cristóbal]
Generated description
San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Cristóbal Target entity description: San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
-
A.
San Cristóbal
San Cristóbal is an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
-
B.
San Cristóbal
San Cristóbal is a municipality in western Cuba located within Artemisa Province.
-
C.
San Cristóbal
San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
-
D.
San Cristóbal
San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
-
E.
San Andres
San Andres is a coastal municipality in the province of Romblon in the Philippines, known for its island scenery and rural communities.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cfb7058819080d80b7f28125199 |
completed | April 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d91ad4c8190a45db7484b9f058a |
completed | April 4, 2026, 12:38 a.m. |
Created at: March 30, 2026, 7:25 p.m.