Triple
T3176336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Capital International Airport Company Limited |
E66473
|
entity |
| Predicate | isStateControlled |
P16269
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Beijing Capital International Airport Company Limited, isStateControlled, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStateControlled Context triple: [Beijing Capital International Airport Company Limited, isStateControlled, true]
-
A.
isStateOwned
chosen
Indicates that an entity is owned or controlled by a government or state authority.
-
B.
teamStateControlled
Indicates that a team is under the authority, governance, or regulatory control of a particular state or governmental entity.
-
C.
isStateLed
Indicates that an activity, initiative, or process is directed, controlled, or primarily governed by a state-level authority or government.
-
D.
recognizedControlOf
Indicates that one entity has formally acknowledged and accepted another entity’s authority or control over something.
-
E.
hasInstitutionalControl
Indicates that one entity exercises formal authority, governance, or decision-making power over an institution or organizational body.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69b0bec8190957913b44d876079 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.