Triple
T9176706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Ho Chi Minh City Metro) |
E220217
|
entity |
| Predicate | urbanRailFunction |
P32065
|
FINISHED |
| Object | mass transit |
—
|
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: mass transit | Statement: [Line 5 (Ho Chi Minh City Metro), urbanRailFunction, mass transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRailFunction Context triple: [Line 5 (Ho Chi Minh City Metro), urbanRailFunction, mass transit]
-
A.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
B.
rapidTransitSystem
chosen
Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
-
C.
railAccessModel
Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
-
D.
isUrbanRailwayIn
Indicates that an urban railway system or line is located within or operates inside a specified geographic or administrative area.
-
E.
railServiceType
Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa60c3c8190b6335b9067de5b72 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.