Triple
T10543510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line 6 |
E248754
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Ferrería
Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
|
E871389
|
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: Ferrería | Statement: [Mexico City Metro Line 6, station, Ferrería]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrería Context triple: [Mexico City Metro Line 6, station, Ferrería]
-
A.
Mondujar
Mondujar is a village in the province of Granada, Spain, historically noted as the place where the Nasrid ruler Muley Hacén (Abu al-Hasan Ali) died.
-
B.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
-
C.
Frasqueira
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
-
D.
Feteira
Feteira is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
E.
Feteira
Feteira is a civil parish in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
- 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: Ferrería Triple: [Mexico City Metro Line 6, station, Ferrería]
Generated description
Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferrería Target entity description: Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
-
A.
Mondujar
Mondujar is a village in the province of Granada, Spain, historically noted as the place where the Nasrid ruler Muley Hacén (Abu al-Hasan Ali) died.
-
B.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
-
C.
Frasqueira
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
-
D.
Feteira
Feteira is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
E.
Feteira
Feteira is a civil parish in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d51911b10481909e6e548879e8de36 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9343c5c308190952596e5254b6a65 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d938c697f481908a93296ee7f82eae |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d940176c988190b7583ce9f2c21898 |
completed | April 10, 2026, 6:23 p.m. |
Created at: April 6, 2026, 12:32 p.m.