Triple
T17463641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 居庸关 |
E425220
|
entity |
| Predicate | 地理位置特征 |
P12436
|
FINISHED |
| Object | 山谷要道 |
—
|
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: 山谷要道 | Statement: [居庸关, 地理位置特征, 山谷要道]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地理位置特征 Context triple: [居庸关, 地理位置特征, 山谷要道]
-
A.
hasGeographyCharacteristic
chosen
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
B.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
C.
physicalFeature
Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
-
D.
geographicalEffect
Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
-
E.
physiographicClassificationBy
Indicates a relationship where an entity is assigned a physiographic category or type according to a specified classifier, method, or authority.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a5bba08190b61a21fa7538ed69 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.