Triple
T37045835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motu Motiro Hiva |
E916905
|
entity |
| Predicate | distanceFromSouthAmerica_km |
P15349
|
FINISHED |
| Object | about 3200 |
—
|
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: about 3200 | Statement: [Motu Motiro Hiva, distanceFromSouthAmerica_km, about 3200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSouthAmerica_km Context triple: [Motu Motiro Hiva, distanceFromSouthAmerica_km, about 3200]
-
A.
distanceToSouthAmerica
chosen
Indicates the spatial distance between a given entity’s location and the continent of South America.
-
B.
distanceToContinentApproximate
Indicates an approximate measure of how far something is from a specified continent.
-
C.
distanceFromUshuaia_km
Indicates the distance, measured in kilometers, between a given entity’s location and Ushuaia.
-
D.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
E.
distanceFromCentralAmerica
Indicates the measured spatial distance between a given entity and the region of Central America.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.