Triple
T23001194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRRC Zhuzhou Electric Locomotive |
E572635
|
entity |
| Predicate | hasR&DFocus |
P90921
|
FINISHED |
| Object | high-speed train technology |
—
|
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: high-speed train technology | Statement: [CRRC Zhuzhou Electric Locomotive, hasR&DFocus, high-speed train technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasR&DFocus Context triple: [CRRC Zhuzhou Electric Locomotive, hasR&DFocus, high-speed train technology]
-
A.
hasRDFocus
chosen
Indicates that something has a specific region of interest or focal area within an image, scene, or dataset that is being emphasized or analyzed.
-
B.
hadFocus
Indicates that an entity previously possessed or maintained primary attention, emphasis, or priority within a given context or interaction.
-
C.
hasRatingFocus
Indicates that an entity’s primary emphasis or concern is on ratings, such as scores, reviews, or evaluative metrics.
-
D.
hasFocusSystem
Indicates that one entity is the primary system or subsystem that another entity is currently directing its attention, control, or processing resources toward.
-
E.
haveFocusSystem
Indicates that an entity is currently the primary target or active focus within a system or context.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18352bcf48190bd474eff69b3465b |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:50 p.m.