Triple
T26901908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Mountain Scenic Area |
E678053
|
entity |
| Predicate | hasCulturalPeriodRepresented |
P9594
|
FINISHED |
| Object | Ming dynasty |
—
|
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: Ming dynasty | Statement: [Purple Mountain Scenic Area, hasCulturalPeriodRepresented, Ming dynasty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalPeriodRepresented Context triple: [Purple Mountain Scenic Area, hasCulturalPeriodRepresented, Ming dynasty]
-
A.
hasCulturalLegacyIn
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
-
B.
culturalPeriod
chosen
Indicates the historical or cultural era with which an entity is associated or during which it was created, used, or significant.
-
C.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
D.
hasMonumentInPeriod
Indicates that a monument is associated with or existed during a specified time period.
-
E.
hasCulturalHeritageOn
Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 5:51 a.m.