Triple
T4060372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 颐和园 |
E86196
|
entity |
| Predicate | 山地面积占比 |
P53824
|
FINISHED |
| Object | 约四分之一 |
—
|
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: 约四分之一 | Statement: [颐和园, 山地面积占比, 约四分之一]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 山地面积占比 Context triple: [颐和园, 山地面积占比, 约四分之一]
-
A.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
B.
percentageOfLandInNationalPark
Indicates the proportion of a given area’s total land that lies within designated national park boundaries.
-
C.
hasMajorMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a principal or significant mountain range.
-
D.
areaPeakApprox
Indicates an approximate measurement or estimation of the peak area associated with an entity or event.
-
E.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefd0995188190b1bc8771fe7f423a |
completed | March 9, 2026, 5:02 p.m. |
Created at: March 9, 2026, 3:38 p.m.