Triple
T32209225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toroni |
E822753
|
entity |
| Predicate | hasCoastLength |
P92628
|
FINISHED |
| Object | several kilometers of beach |
—
|
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: several kilometers of beach | Statement: [Toroni, hasCoastLength, several kilometers of beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastLength Context triple: [Toroni, hasCoastLength, several kilometers of beach]
-
A.
hasCoastlineLengthApprox
chosen
Indicates an approximate measurement of the total length of an entity’s coastline.
-
B.
hasCoastline
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
C.
hasCoastalSection
Indicates that a geographic entity includes at least one section of land that directly borders a sea or ocean.
-
D.
hasCoastlineLengthRank
Indicates the relative position of an entity in an ordered ranking based on the length of its coastline.
-
E.
hasCoastlineType
Indicates the specific nature or classification of the coastline associated with a geographic entity.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:37 a.m.