Triple
T11870542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line 4 |
E282395
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Bondojito
Bondojito is a station on Mexico City’s Metro system, serving passengers on Line 4 in the northern part of the city.
|
E951120
|
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: Bondojito | Statement: [Mexico City Metro Line 4, hasStation, Bondojito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bondojito Context triple: [Mexico City Metro Line 4, hasStation, Bondojito]
-
A.
La Quica
La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
-
B.
Huguito
Huguito is a Spanish affectionate diminutive form of the given name Hugo, commonly used as a nickname.
-
C.
Fraile Chico
Fraile Chico is a subsidiary summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged alpine terrain and glaciated features.
-
D.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
E.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
- 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: Bondojito Triple: [Mexico City Metro Line 4, hasStation, Bondojito]
Generated description
Bondojito is a station on Mexico City’s Metro system, serving passengers on Line 4 in the northern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bondojito Target entity description: Bondojito is a station on Mexico City’s Metro system, serving passengers on Line 4 in the northern part of the city.
-
A.
La Quica
La Quica is a character in the crime drama series "Narcos," depicted as a ruthless hitman working for the Medellín Cartel under Pablo Escobar.
-
B.
Huguito
Huguito is a Spanish affectionate diminutive form of the given name Hugo, commonly used as a nickname.
-
C.
Fraile Chico
Fraile Chico is a subsidiary summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged alpine terrain and glaciated features.
-
D.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
E.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be15fb2481908f514781ce2c617f |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281b0969c8190a8c0a01ca292cc84 |
completed | April 29, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69f28a92ac90819092eef473a49d329e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c462d888190a43e042b00921dbe |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:43 p.m.