Triple
T12230136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | territory of Chile |
E291451
|
entity |
| Predicate | hasCoastlineLengthApproxKm |
P92628
|
FINISHED |
| Object | 6435 |
—
|
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: 6435 | Statement: [territory of Chile, hasCoastlineLengthApproxKm, 6435]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastlineLengthApproxKm Context triple: [territory of Chile, hasCoastlineLengthApproxKm, 6435]
-
A.
hasCoastlineLengthApprox
chosen
Indicates an approximate measurement of the total length of an entity’s coastline.
-
B.
hasCoastlineLengthRank
Indicates the relative position of an entity in an ordered ranking based on the length of its coastline.
-
C.
hasCoastline
Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
-
D.
hasCoastlineOn
Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
-
E.
isPartOfCoastOf
Indicates that one entity forms a segment or component of the coastline belonging to another 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.