Triple
T9139916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deportivo 18 de Marzo (via Line 6 corridor, non-immediate) |
E219297
|
entity |
| Predicate | transferCorridor |
P86994
|
FINISHED |
| Object | Line 6 corridor |
—
|
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: Line 6 corridor | Statement: [Deportivo 18 de Marzo (via Line 6 corridor, non-immediate), transferCorridor, Line 6 corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferCorridor Context triple: [Deportivo 18 de Marzo (via Line 6 corridor, non-immediate), transferCorridor, Line 6 corridor]
-
A.
transferFeature
Indicates a relationship where a feature, attribute, or capability is moved or reassigned from one entity to another.
-
B.
transferComplex
Indicates the movement or relocation of a multi-component entity or system from one context, location, or state to another.
-
C.
formsTransportCorridorBetween
Indicates that something creates or constitutes a transportation link or route connecting two locations or entities.
-
D.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
E.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
- F. None of above. chosen
Provenance (4 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f2537881908956a9b0516e2d49 |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3d230881909635b2ccea35cedb |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:19 p.m.