Triple
T27581117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shin Corporation |
E699587
|
entity |
| Predicate | acquisitionCountryOfBuyer |
P132353
|
FINISHED |
| Object | Singapore |
—
|
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: Singapore | Statement: [Shin Corporation, acquisitionCountryOfBuyer, Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionCountryOfBuyer Context triple: [Shin Corporation, acquisitionCountryOfBuyer, Singapore]
-
A.
acquisitionCountry
chosen
Indicates the country in which the acquisition of an entity or asset took place.
-
B.
customerCountry
Indicates the country associated with or attributed to a given customer.
-
C.
sellerCountry
Indicates the country in which the seller is located or registered for the transaction.
-
D.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
E.
recipientCountry
Indicates the country that receives something (such as goods, services, aid, or communication) from another party.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 2:02 p.m.