Triple
T2500602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Algarín |
E52454
|
entity |
| Predicate | transportConnectivity |
P5822
|
FINISHED |
| Object | served by public transport of Mexico City |
—
|
LITERAL FINISHED |
How this triple was built (2 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: served by public transport of Mexico City | Statement: [Colonia Algarín, transportConnectivity, served by public transport of Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportConnectivity Context triple: [Colonia Algarín, transportConnectivity, served by public transport of Mexico City]
-
A.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
B.
nearbyTransit
chosen
Indicates that one location has public transportation options situated within a short distance or easy access from it.
-
C.
ropewayConnects
Indicates that a ropeway (such as a cable car or gondola system) provides a direct transportation connection between two locations.
-
D.
transportationJunctionFor
Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
-
E.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
- F. None of above.
Provenance (3 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1b144a481909b1f8d96742a92e7 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.