Triple
T324229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mausoleum of Mao Zedong |
E6477
|
entity |
| Predicate | visitorPolicy |
P10265
|
FINISHED |
| Object | open to the public |
—
|
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: open to the public | Statement: [Mausoleum of Mao Zedong, visitorPolicy, open to the public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorPolicy Context triple: [Mausoleum of Mao Zedong, visitorPolicy, open to the public]
-
A.
hasVisitorPolicy
chosen
Indicates that an entity has an established policy governing the presence, behavior, or permissions of visitors.
-
B.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
C.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
D.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
E.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.