Triple
T4481813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Mexico City Metro) |
E100151
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
San Cosme
San Cosme is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near the historic center of the city.
|
E445121
|
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 Cosme | Statement: [Line 2 (Mexico City Metro), station, San Cosme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Cosme Context triple: [Line 2 (Mexico City Metro), station, San Cosme]
-
A.
San Roque
San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
-
B.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
C.
San Félix
San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
-
D.
San Borja
San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
-
E.
San Borja
San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
- 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 Cosme Triple: [Line 2 (Mexico City Metro), station, San Cosme]
Generated description
San Cosme is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near the historic center of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Cosme Target entity description: San Cosme is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near the historic center of the city.
-
A.
San Roque
San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
-
B.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
C.
San Félix
San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
-
D.
San Borja
San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
-
E.
San Borja
San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356dddd488190bd5dedd3c0e77247 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b672266bc0819098ed18435f9d0c80 |
completed | March 15, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69b67291bcdc819098131e1ba98eaf6d |
completed | March 15, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6730133c081908a5243236dfc3094 |
completed | March 15, 2026, 8:51 a.m. |
Created at: March 12, 2026, 11:36 p.m.