Triple
T31268788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calzada Tasqueña |
E797325
|
entity |
| Predicate | hasAssociatedTransportInfrastructure |
P136134
|
FINISHED |
| Object |
Tasqueña metro station
Tasqueña metro station is a major Mexico City Metro terminal in the south of the city that serves as an important transfer point between metro, light rail, and bus services.
|
E1966237
|
NE FINISHED |
How this triple was built (3 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: Tasqueña metro station | Statement: [Calzada Tasqueña, hasAssociatedTransportInfrastructure, Tasqueña metro station]
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: Tasqueña metro station Triple: [Calzada Tasqueña, hasAssociatedTransportInfrastructure, Tasqueña metro station]
Generated description
Tasqueña metro station is a major Mexico City Metro terminal in the south of the city that serves as an important transfer point between metro, light rail, and bus services.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedTransportInfrastructure Context triple: [Calzada Tasqueña, hasAssociatedTransportInfrastructure, Tasqueña metro station]
-
A.
hasMajorTransportInfrastructure
Indicates that a location possesses significant transportation facilities or networks, such as major roads, railways, ports, or airports, that support substantial movement of people or goods.
-
B.
associatedWithTransportationInfrastructure
chosen
Indicates a relationship where something is connected or related to transportation infrastructure, such as facilities, systems, or structures used for transport.
-
C.
hasPublicTransitInfrastructure
Indicates that a location or area is equipped with facilities and systems that support public transportation services (e.g., buses, trains, trams).
-
D.
isTransportationInfrastructure
Indicates that something functions as a physical facility or system designed to support the movement of people or goods, such as roads, railways, ports, or airports.
-
E.
hasTransportationSystem
Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
- F. None of above.
Provenance (6 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b143a8ee0819084125274f3882909 |
completed | June 11, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a2b18ab550c8190a49bc771916e0936 |
completed | June 11, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b19c0e698819087ea1ece619a3482 |
completed | June 11, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 9:13 p.m.