Triple
T9161363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibetan Himalayas |
E219829
|
entity |
| Predicate | airPressure |
P20809
|
FINISHED |
| Object | low atmospheric pressure |
—
|
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: low atmospheric pressure | Statement: [Tibetan Himalayas, airPressure, low atmospheric pressure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airPressure Context triple: [Tibetan Himalayas, airPressure, low atmospheric pressure]
-
A.
chamberPressure_bar
Indicates the pressure within a chamber, expressed in units of bar.
-
B.
pressurization
Indicates the process of applying or maintaining pressure on or within an object, system, or environment.
-
C.
hasAtmosphericPressureAtSeaLevel
Indicates that an entity possesses a specific value of atmospheric pressure measured at sea level.
-
D.
pressureFrom
Indicates a relationship where one entity exerts influence, coercion, or force on another to affect its decisions, actions, or state.
-
E.
surfacePressure
chosen
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ac0508190b2f5c801c2c26d66 |
completed | April 1, 2026, 5:16 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.