Triple
T9692806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天安门 |
E234574
|
entity |
| Predicate | 开放对象 |
P18212
|
FINISHED |
| Object | 公众 |
—
|
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: 公众 | Statement: [天安门, 开放对象, 公众]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 开放对象 Context triple: [天安门, 开放对象, 公众]
-
A.
openedForPublic
chosen
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
B.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
C.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
D.
openedToPublicBy
Indicates that an entity was made accessible or available to the general public through the action or decision of another entity.
-
E.
opened
Indicates that one entity caused another entity (such as an object, container, or passage) to change from a closed or inaccessible state to an open or accessible state.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0727908190897894151c0ee7c2 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.