Triple
T10088747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanglong Scenic Area |
E215286
|
entity |
| Predicate | elevationRange_m |
P1977
|
FINISHED |
| Object | 1700–5588 |
—
|
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: 1700–5588 | Statement: [Huanglong Scenic Area, elevationRange_m, 1700–5588]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRange_m Context triple: [Huanglong Scenic Area, elevationRange_m, 1700–5588]
-
A.
typicalElevationRange
chosen
Indicates the usual range of elevation values within which something commonly occurs or exists.
-
B.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
-
C.
elevationMinM
Indicates the minimum elevation, measured in meters, at which an entity or phenomenon occurs or is situated.
-
D.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
E.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd057e32881908bf630559af94906 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:01 p.m.