Triple
T17777503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maintenance Directorate of Mexico City Metro |
E443809
|
entity |
| Predicate | typeOfMaintenance |
P118531
|
FINISHED |
| Object | preventive maintenance |
—
|
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: preventive maintenance | Statement: [Maintenance Directorate of Mexico City Metro, typeOfMaintenance, preventive maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMaintenance Context triple: [Maintenance Directorate of Mexico City Metro, typeOfMaintenance, preventive maintenance]
-
A.
maintenanceType
chosen
Indicates the specific category or kind of maintenance activity associated with an entity or relationship.
-
B.
hasMaintenanceType
Indicates the specific category or kind of maintenance associated with an asset, component, or maintenance event.
-
C.
hasMaintenance
Indicates that an entity is subject to, associated with, or requires a particular maintenance activity or maintenance record.
-
D.
hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
-
E.
maintenancePractice
Indicates the specific actions or methods used to preserve, repair, or optimize the condition or performance of something over time.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.