Triple
T3030855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagasa |
E82889
|
entity |
| Predicate | coastOrientation |
P45094
|
FINISHED |
| Object | north coast of Tutuila |
—
|
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: north coast of Tutuila | Statement: [Fagasa, coastOrientation, north coast of Tutuila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastOrientation Context triple: [Fagasa, coastOrientation, north coast of Tutuila]
-
A.
coastType
Indicates the specific kind or classification of a coastline associated with a geographic area.
-
B.
coastOff
Indicates that one entity is located just off the coast of another, typically in nearby offshore waters rather than directly on the shoreline.
-
C.
basedOnCoast
Indicates that something is situated along, adjacent to, or directly influenced by a coastline.
-
D.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
E.
extendsAlongCoastOf
Indicates that one entity stretches or runs parallel along the coastline of another entity.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 3:01 p.m.