Triple
T26985249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algerian coast |
E679718
|
entity |
| Predicate | coastalLengthApproxKm |
P92628
|
FINISHED |
| Object | 1200 |
—
|
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: 1200 | Statement: [Algerian coast, coastalLengthApproxKm, 1200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalLengthApproxKm Context triple: [Algerian coast, coastalLengthApproxKm, 1200]
-
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.
maritimeBoundaryLengthApproxKm
Indicates the approximate length, measured in kilometers, of a state's maritime boundary or coastline.
-
D.
hasCountryCoastlineOn
Indicates that a country has a coastline bordering a specified body of water or sea.
-
E.
countryCoastlineOf
Indicates that a country has the specified coastline as part of its national territory or boundary.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6215954f8819092cf882ca976fafa |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:48 a.m.