Triple
T37365376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmony (Hexie) series |
E927695
|
entity |
| Predicate | stillInUseFor |
P15255
|
FINISHED |
| Object | many high-speed services in China |
—
|
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: many high-speed services in China | Statement: [Harmony (Hexie) series, stillInUseFor, many high-speed services in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stillInUseFor Context triple: [Harmony (Hexie) series, stillInUseFor, many high-speed services in China]
-
A.
stillUsedBy
Indicates that something continues to be used or relied upon by another entity at the present time.
-
B.
isInUse
chosen
Indicates that an entity is currently being utilized or actively engaged in its intended function or operation.
-
C.
continuouslyUsedAs
Indicates that one entity is persistently and repeatedly employed or utilized as another entity or for a particular function over an extended, uninterrupted period.
-
D.
isSometimesUsedFor
Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
-
E.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.