Triple
T15173361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hengqin New Area |
E362544
|
entity |
| Predicate | aimsToServeAs |
P116994
|
FINISHED |
| Object | platform for Guangdong–Macau cooperation |
—
|
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: platform for Guangdong–Macau cooperation | Statement: [Hengqin New Area, aimsToServeAs, platform for Guangdong–Macau cooperation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToServeAs Context triple: [Hengqin New Area, aimsToServeAs, platform for Guangdong–Macau cooperation]
-
A.
aimsToProvide
Indicates that one entity intends or is designed to supply, deliver, or make available something to another entity.
-
B.
alsoServesAs
Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
-
C.
typicallyServedAs
Indicates that something is most commonly presented, used, or offered in a particular role, form, or function.
-
D.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
E.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
- F. None of above. chosen
Provenance (4 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006501b488190a2ab09dbf1532571 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:09 a.m.