Triple
T28767238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jade Dragon Snow Mountain |
E726307
|
entity |
| Predicate | distanceFromLijiang |
P201979
|
FINISHED |
| Object | approximately 15–25 km north of Lijiang |
—
|
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: approximately 15–25 km north of Lijiang | Statement: [Jade Dragon Snow Mountain, distanceFromLijiang, approximately 15–25 km north of Lijiang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLijiang Context triple: [Jade Dragon Snow Mountain, distanceFromLijiang, approximately 15–25 km north of Lijiang]
-
A.
distanceToKunming
Indicates the spatial distance between a given location or entity and the city of Kunming.
-
B.
distanceToSuzhou
Indicates the measured spatial distance between a given entity and the location Suzhou.
-
C.
distanceFromChengdu
Indicates the measured spatial distance between a given location and the city of Chengdu.
-
D.
distanceFromMandalay
Indicates the measured distance between a given place or entity and the location of Mandalay.
-
E.
distanceFromLachung
Indicates the spatial distance between an entity and the location Lachung.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
| PDg | Predicate description generation | batch_6a003ffa64e48190b37cce7d1c939b78 |
completed | May 10, 2026, 8:21 a.m. |
Created at: April 28, 2026, 6:14 a.m.