Triple
T34846450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Palace Museum |
E1004482
|
entity |
| Predicate | loanPartner |
P67731
|
FINISHED |
| Object | Palace Museum |
—
|
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: Palace Museum | Statement: [Hong Kong Palace Museum, loanPartner, Palace Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanPartner Context triple: [Hong Kong Palace Museum, loanPartner, Palace Museum]
-
A.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
B.
loanSource
chosen
Indicates that one entity is the origin or provider of a loan extended to another entity.
-
C.
lender
Indicates a relationship where one party provides something, typically money or resources, to another with the expectation of repayment or return.
-
D.
loanedTo
Indicates that one entity has temporarily provided something it owns or controls to another entity with the expectation of its return.
-
E.
launchPartner
Indicates that one entity collaborates closely with another as a primary partner during the initial launch or rollout of a product, service, or initiative.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.