Triple
T19765036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Viga |
E474730
|
entity |
| Predicate | hasSpanishName |
P12773
|
FINISHED |
| Object |
Estación La Viga
Estación La Viga is a Mexico City Metro station serving the La Viga area along Line 8 of the city’s rapid transit system.
|
E1394039
|
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: Estación La Viga | Statement: [La Viga, hasSpanishName, Estación La Viga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estación La Viga Context triple: [La Viga, hasSpanishName, Estación La Viga]
-
A.
Estación Las Parcelas
Estación Las Parcelas is a metro station on Line 5 of the Santiago Metro in Santiago, Chile.
-
B.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
C.
Guadalupe station
Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
-
D.
San Miguelito station
San Miguelito station is a major interchange stop in the Panama Metro system, serving as a key transfer point between Line 1 and Line 2 in the San Miguelito district of Panama City.
-
E.
Catalinas station
Catalinas station is a stop on Buenos Aires’ Line E underground, serving the Catalinas area in the city’s central business district.
- 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: Estación La Viga Triple: [La Viga, hasSpanishName, Estación La Viga]
Generated description
Estación La Viga is a Mexico City Metro station serving the La Viga area along Line 8 of the city’s rapid transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Estación La Viga Target entity description: Estación La Viga is a Mexico City Metro station serving the La Viga area along Line 8 of the city’s rapid transit system.
-
A.
Estación Las Parcelas
Estación Las Parcelas is a metro station on Line 5 of the Santiago Metro in Santiago, Chile.
-
B.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
C.
Guadalupe station
Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
-
D.
San Miguelito station
San Miguelito station is a major interchange stop in the Panama Metro system, serving as a key transfer point between Line 1 and Line 2 in the San Miguelito district of Panama City.
-
E.
Catalinas station
Catalinas station is a stop on Buenos Aires’ Line E underground, serving the Catalinas area in the city’s central business district.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd6ffbfc81909a4481abf9b8fb5a |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be65daf88190a0ed2b6f8075141a |
completed | May 16, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bf1be9648190bac752e8a6ca12bc |
completed | May 16, 2026, 12:49 a.m. |
Created at: April 10, 2026, 1:48 p.m.