Triple
T5695666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurie Island |
E125531
|
entity |
| Predicate | hasLongTermMeteorologicalRecordsSince |
P4242
|
FINISHED |
| Object | 1903 |
—
|
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: 1903 | Statement: [Laurie Island, hasLongTermMeteorologicalRecordsSince, 1903]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermMeteorologicalRecordsSince Context triple: [Laurie Island, hasLongTermMeteorologicalRecordsSince, 1903]
-
A.
hasClimateRecord
Indicates that an entity possesses documented data or records about climate conditions or climate-related observations.
-
B.
hasAtmosphericRecord
Indicates that an entity possesses documented data or measurements related to atmospheric conditions or phenomena.
-
C.
historicallyRecordedSince
Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
-
D.
hasLongTermDatasetSince
chosen
Indicates that an entity has maintained or used a particular dataset continuously starting from a specified point in time.
-
E.
hasMeteorologicalStation
Indicates that one entity possesses, hosts, or is equipped with a meteorological station used for observing and recording weather-related data.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.