Triple
T19192507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revillagigedo Islands |
E469876
|
entity |
| Predicate | distanceFromMexicanMainlandInKilometers |
P5691
|
FINISHED |
| Object | ~390 |
—
|
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: ~390 | Statement: [Revillagigedo Islands, distanceFromMexicanMainlandInKilometers, ~390]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMexicanMainlandInKilometers Context triple: [Revillagigedo Islands, distanceFromMexicanMainlandInKilometers, ~390]
-
A.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
B.
distanceToMexicoBorder
Indicates the measured or estimated distance between a given location or entity and the border of Mexico.
-
C.
distanceFromCentralAmerica
Indicates the measured spatial distance between a given entity and the region of Central America.
-
D.
distanceToSpanishBorder
Indicates the measured distance between a given location and the border of Spain.
-
E.
distanceFromMexicoCity
Indicates the measured distance between an entity’s location and Mexico City.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a3434881908acc4063a9ee9386 |
completed | April 20, 2026, 9:57 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.