Triple
T15477896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Asherah of the Sea |
E376831
|
entity |
| Predicate | connectedToGeography |
P3227
|
FINISHED |
| Object | coastlines |
—
|
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: coastlines | Statement: [Lady Asherah of the Sea, connectedToGeography, coastlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToGeography Context triple: [Lady Asherah of the Sea, connectedToGeography, coastlines]
-
A.
continentConnection
Indicates a relationship where two or more entities are linked by being located on, spanning, or otherwise associated with the same continent or connected continents.
-
B.
investmentGeography
Indicates the geographic region or location where an investment is targeted, managed, or primarily focused.
-
C.
world
Indicates a relationship or context that spans or pertains to the entire world or global scope.
-
D.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
geopoliticalSignificance
Indicates the importance or influence that a place, event, or relationship holds within regional or global political and strategic power dynamics.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.