Triple
T4481947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 12 (Mexico City Metro) |
E100154
|
entity |
| Predicate | connectsDistricts |
P2564
|
FINISHED |
| Object | southeastern 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: southeastern Mexico City | Statement: [Line 12 (Mexico City Metro), connectsDistricts, southeastern Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsDistricts Context triple: [Line 12 (Mexico City Metro), connectsDistricts, southeastern Mexico City]
-
A.
connectsRegions
Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
-
B.
connectsCity
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
-
C.
connectsArea
chosen
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
D.
confluenceDistrict
Indicates a relationship where an area or region is designated as the district surrounding or encompassing the confluence of two or more water bodies.
-
E.
connectsCountyTown
Indicates a relationship where a county is linked or associated with a town, typically signifying that the town lies within or is administered by that county.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:36 p.m.