Triple
T409189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APEC Ministerial Meeting |
E9448
|
entity |
| Predicate | hostChanges |
P11067
|
FINISHED |
| Object | annually |
—
|
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: annually | Statement: [APEC Ministerial Meeting, hostChanges, annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostChanges Context triple: [APEC Ministerial Meeting, hostChanges, annually]
-
A.
hostState
Indicates a relationship where one entity serves as the host or governing state for another entity, within whose jurisdiction, territory, or authority that other entity operates or resides.
-
B.
host
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
C.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
D.
hostsExperiment
Indicates that one entity provides the environment or infrastructure in which another entity’s experiment is conducted or run.
-
E.
hostSelection
Indicates the choice or designation of a particular host from a set of possible hosts for a given purpose or interaction.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecc098c4819088d127c5ea55ced9 |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea4545608190898436c72e10f39d |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.