Triple
T9926703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiahewanggang Depot |
E187940
|
entity |
| Predicate | servesSystemType |
P15304
|
FINISHED |
| Object | urban rail network |
—
|
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: urban rail network | Statement: [Jiahewanggang Depot, servesSystemType, urban rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesSystemType Context triple: [Jiahewanggang Depot, servesSystemType, urban rail network]
-
A.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
B.
systemType
chosen
Indicates the classification or category of a system that an entity belongs to or operates as.
-
C.
servesMode
Indicates that one entity provides or operates in a particular manner, method, or mode in relation to another entity or context.
-
D.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
E.
serviceSystem
Indicates a relationship where one entity functions as a service system that provides, manages, or supports services for another entity.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59b85f88190899ea279fc02660f |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.