Triple
T20945356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AUS |
E515829
|
entity |
| Predicate | hasWMOcode |
P9474
|
FINISHED |
| Object | 72254 |
—
|
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: 72254 | Statement: [AUS, hasWMOcode, 72254]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWMOcode Context triple: [AUS, hasWMOcode, 72254]
-
A.
WMO code
chosen
Indicates that an entity is associated with a specific identifier defined by the World Meteorological Organization (WMO) coding system.
-
B.
hasWALSCode
Indicates that a language is associated with a specific WALS (World Atlas of Language Structures) feature code.
-
C.
hasMeteorologicalStation
Indicates that one entity possesses, hosts, or is equipped with a meteorological station used for observing and recording weather-related data.
-
D.
hasFourLetterCode
Indicates that an entity is associated with a code consisting of exactly four characters.
-
E.
hasFAOCode
Indicates that an entity is associated with a specific FAO (Food and Agriculture Organization) code used for standardized identification in FAO classifications.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad7f67481908675e76736f5e0c3 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:55 p.m.