Triple
T33839289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Aid Bridge Project in Metro Manila |
E867315
|
entity |
| Predicate | donorCountry |
P177763
|
FINISHED |
| Object | China |
—
|
NE NERFINISHED |
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: China | Statement: [China Aid Bridge Project in Metro Manila, donorCountry, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donorCountry Context triple: [China Aid Bridge Project in Metro Manila, donorCountry, China]
-
A.
recipientCountry
Indicates the country that receives something (such as goods, services, aid, or communication) from another party.
-
B.
donorOf
Indicates that one entity gives or contributes something (such as resources, organs, or materials) to another entity.
-
C.
beneficiaryCountry
Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
-
D.
charitableRegistrationCountry
Indicates the country in which a charitable organization is officially registered.
-
E.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.