Triple
T16339359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla Negra, Chile |
E396755
|
entity |
| Predicate | directionFromSantiago |
P123033
|
FINISHED |
| Object | southwest |
—
|
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: southwest | Statement: [Isla Negra, Chile, directionFromSantiago, southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromSantiago Context triple: [Isla Negra, Chile, directionFromSantiago, southwest]
-
A.
distanceFromSantiago
Indicates the spatial distance between a given entity and the location of Santiago.
-
B.
providesToSantiago
Indicates that one entity supplies, gives, or makes something available to Santiago.
-
C.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
-
D.
directionFromCusco
Indicates the cardinal or relative direction in which one entity is located from the reference point of Cusco.
-
E.
directionFromColombo
Indicates the cardinal or relative compass direction of an entity’s location measured from Colombo.
- F. None of above. chosen
Provenance (4 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da08fbc88190a31127d10ca633d6 |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.